{"task_type": "generation", "dataset": "towe", "input": ["I charge it at night and skip taking the cord with me because of the good battery life ."], "output": "['battery', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it is of high quality , has a killer GUI , is extremely stable , is highly expandable , is bundled with lots of very good applications , is easy to use , and is absolutely gorgeous ."], "output": "['quality', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it is of high quality , has a killer GUI , is extremely stable , is highly expandable , is bundled with lots of very good applications , is easy to use , and is absolutely gorgeous ."], "output": "['GUI', ['killer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it is of high quality , has a killer GUI , is extremely stable , is highly expandable , is bundled with lots of very good applications , is easy to use , and is absolutely gorgeous ."], "output": "['applications', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it is of high quality , has a killer GUI , is extremely stable , is highly expandable , is bundled with lots of very good applications , is easy to use , and is absolutely gorgeous ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Easy to start up and does not overheat as much as other laptops ."], "output": "['start', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great laptop that offers many great features !"], "output": "['features', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One night I turned the freaking thing off after using it , the next day I turn it on , no GUI , screen all dark , power light steady , hard drive light steady and not flashing as it usually does ."], "output": "['GUI', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One night I turned the freaking thing off after using it , the next day I turn it on , no GUI , screen all dark , power light steady , hard drive light steady and not flashing as it usually does ."], "output": "['screen', ['dark']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One night I turned the freaking thing off after using it , the next day I turn it on , no GUI , screen all dark , power light steady , hard drive light steady and not flashing as it usually does ."], "output": "['power', ['steady']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One night I turned the freaking thing off after using it , the next day I turn it on , no GUI , screen all dark , power light steady , hard drive light steady and not flashing as it usually does ."], "output": "['hard', ['steady']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My only disappointment with the 13 '' model is that they 're the only ones in the MacBook Pro line up without an i5 or i7 processor and dual graphics cards , however the trade-off is that you achieve a longer battery life ( of about 2 more hours ) ."], "output": "['processor', ['disappointment', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My only disappointment with the 13 '' model is that they 're the only ones in the MacBook Pro line up without an i5 or i7 processor and dual graphics cards , however the trade-off is that you achieve a longer battery life ( of about 2 more hours ) ."], "output": "['graphics', ['disappointment', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My only disappointment with the 13 '' model is that they 're the only ones in the MacBook Pro line up without an i5 or i7 processor and dual graphics cards , however the trade-off is that you achieve a longer battery life ( of about 2 more hours ) ."], "output": "['battery', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In the shop , these MacBooks are encased in a soft rubber enclosure - so you will never know about the razor edge until you buy it , get it home , break the seal and use it ( very clever con ) ."], "output": "['rubber', ['soft']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , the multi-touch gestures and large tracking area make having an external mouse unnecessary ( unless you 're gaming ) ."], "output": "['external', ['unnecessary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the way the entire suite of software works together ."], "output": "['suite', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The speed is incredible and I am more than satisfied ."], "output": "['speed', ['incredible', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop meets every expectation and Windows 7 is great !"], "output": "['Windows', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can barely use any usb devices because they will not stay connected properly ."], "output": "['usb', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["-- No backlit keyboard , but not an issue for me ."], "output": "['keyboard', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I finally had everything running with all my software installed I plugged in my droid to recharge and the system crashed ."], "output": "['system', ['crashed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pairing it with an iPhone is a pure pleasure - talk about painless syncing - used to take me forever - now it 's a snap ."], "output": "['syncing', ['painless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also got the added bonus of a 30 '' HD Monitor , which really helps to extend my screen and keep my eyes fresh !"], "output": "['30', ['added']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also got the added bonus of a 30 '' HD Monitor , which really helps to extend my screen and keep my eyes fresh !"], "output": "['screen', ['extend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The machine is slow to boot up and occasionally crashes completely ."], "output": "['boot', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After paying several hundred dollars for this service , it is frustrating that you can not get help after hours ."], "output": "['service', ['frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did have to replace the battery once , but that was only a couple months ago and it 's been working perfect ever since ."], "output": "['battery', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the operating system and the preloaded software ."], "output": "['operating', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the operating system and the preloaded software ."], "output": "['preloaded', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best thing about this laptop is the price along with some of the newer features ."], "output": "['price', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best thing about this laptop is the price along with some of the newer features ."], "output": "['features', ['best', 'newer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["YOU WILL NOT BE ABLE TO TALK TO AN AMERICAN WARRANTY SERVICE IS OUT OF COUNTRY ."], "output": "['WARRANTY', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but now i have realized its a problem with this brand ."], "output": "['brand', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also kinda loud when the fan was running ."], "output": "['fan', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There also seemed to be a problem with the hard disc as certain times windows loads but claims to not be able to find any drivers or files ."], "output": "['hard', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drivers updated ok but the BIOS update froze the system up and the computer shut down ."], "output": "['Drivers', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drivers updated ok but the BIOS update froze the system up and the computer shut down ."], "output": "['BIOS', ['froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drivers updated ok but the BIOS update froze the system up and the computer shut down ."], "output": "['system', ['froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Speaking of the browser , it too has problems ."], "output": "['browser', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard is too slick ."], "output": "['keyboard', ['slick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's like 9 punds , but if you can look past it , it 's GREAT !"], "output": "['9', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's just as fast with one program open as it is with sixteen open ."], "output": "['program', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Still under warrenty so called Toshiba , no help at all ."], "output": "['warrenty', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Amazing Quality !"], "output": "['Quality', ['Amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fact that you can spend over $ 100 on just a webcam underscores the value of this machine ."], "output": "['value', ['underscores']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A month or so ago , the freaking motherboard just died ."], "output": "['motherboard', ['freaking', 'died']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The system it comes with does not work properly , so when trying to fix the problems with it it started not working at all ."], "output": "['system', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running ."], "output": "['charger', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If a website ever freezes ( which is rare ) , its really easy to force quit ."], "output": "['force', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It rarely works and when it does it 's incredibly slow ."], "output": "['works', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also enjoy the fact that my MacBook Pro laptop allows me to run Windows 7 on it by using the VMWare program ."], "output": "['Windows', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also enjoy the fact that my MacBook Pro laptop allows me to run Windows 7 on it by using the VMWare program ."], "output": "['VMWare', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so much easier to navigate through the operating system , to find files , and it runs a lot faster !"], "output": "['operating', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so much easier to navigate through the operating system , to find files , and it runs a lot faster !"], "output": "['runs', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so much easier to navigate through the operating system , to find files , and it runs a lot faster !"], "output": "['navigate', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so much easier to navigate through the operating system , to find files , and it runs a lot faster !"], "output": "['find', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wanted to purchase the extended warranty and they refused , because they knew it was trouble ."], "output": "['extended', ['refused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We upgraded the memory to four gigabytes in order to take advantage of the performace increase in speed ."], "output": "['speed', ['increase']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We upgraded the memory to four gigabytes in order to take advantage of the performace increase in speed ."], "output": "['performace', ['increase']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The reality was , it heated up very quickly , and took way too long to do simple things , like opening my Documents folder ."], "output": "['opening', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had always used PCs and been constantly frustrated by the crashing and the poorly designed operating systems that were never very intuitive ."], "output": "['operating', ['poorly', 'intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then , within 5 months , the charger crapped out on me ."], "output": "['charger', ['crapped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And if you have a iphone or ipod touch you can connect and download songs to it at high speed ."], "output": "['speed', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the glass touchpad ."], "output": "['glass', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I continued to take the computer in AGAIN and they replaced the hard drive and mother board yet again ."], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I continued to take the computer in AGAIN and they replaced the hard drive and mother board yet again ."], "output": "['mother', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am using the external speaker -- sound is good ."], "output": "['external', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am using the external speaker -- sound is good ."], "output": "['sound', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then HP sends it back to me with the hardware screwed up , not able to connect ."], "output": "['hardware', ['screwed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh yeah , do n't forget the expensive shipping to and from HP ."], "output": "['shipping', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is so easy to use , Mac software is just so much simpler than Microsoft software ."], "output": "['Mac', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is so easy to use , Mac software is just so much simpler than Microsoft software ."], "output": "['Microsoft', ['simpler']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is so easy to use , Mac software is just so much simpler than Microsoft software ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And if you do a lot of writing , editing is a problem since there is no forward delete key ."], "output": "['delete', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And if you do a lot of writing , editing is a problem since there is no forward delete key ."], "output": "['editing', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar -- can not be beat ."], "output": "['use', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar -- can not be beat ."], "output": "['service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar -- can not be beat ."], "output": "['phone', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar -- can not be beat ."], "output": "['genius', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a 10 hour battery life when you 're doing web browsing and word editing , making it perfect for the classroom or office , and in terms of gaming and movie playing it 'll have a battery life of just over 5 hours ."], "output": "['battery', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a 10 hour battery life when you 're doing web browsing and word editing , making it perfect for the classroom or office , and in terms of gaming and movie playing it 'll have a battery life of just over 5 hours ."], "output": "['web', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a 10 hour battery life when you 're doing web browsing and word editing , making it perfect for the classroom or office , and in terms of gaming and movie playing it 'll have a battery life of just over 5 hours ."], "output": "['word', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Acer has set me up with FREE recovery discs , when they are available since I asked ."], "output": "['recovery', ['FREE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life seems to be very good , and have had no issues with it ."], "output": "['battery', ['good', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enabling the battery timer is useless ."], "output": "['battery', ['useless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Temperatures on the outside were alright but i did not track in Core Processing Unit temperatures ."], "output": "['Temperatures', ['alright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no need to purchase virus protection for Mac , which saves me a lot of time and money ."], "output": "['virus', ['saves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But we had paid for bluetooth , and there was none ."], "output": "['bluetooth', ['none']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is always reliable , never bugged and responds well ."], "output": "['responds', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After about a week I finally got it back and was told that the motherboard had failed and so they installed a new motherboard ."], "output": "['motherboard', ['failed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After about a week I finally got it back and was told that the motherboard had failed and so they installed a new motherboard ."], "output": "['motherboard', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was slow , locked up , and also had hardware replaced after only 2 months !"], "output": "['hardware', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they had to replace the motherboard in April"], "output": "['motherboard', ['replace']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , the computer was light weight , less expensive than the average laptop , and was pretty self explantory in use ."], "output": "['use', ['self']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , if you need to talk to a representive at Microsoft , there is a charge , which I believe is robbery , since you are charged enormous amounts for a very badly designed system , which most people would have went with XP if they could ."], "output": "['system', ['badly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love WIndows 7 which is a vast improvment over Vista ."], "output": "['WIndows', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is great , very quiet for all the typing that I do ."], "output": "['Keyboard', ['great', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dell 's customer disservice is an insult to it 's customers who pay good money for shoddy products ."], "output": "['Dell', ['insult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After talking it over with the very knowledgeable sales associate , I chose the MacBook Pro over the white MacBook ."], "output": "['sales', ['knowledgeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you really want a bang-up system and do n't need to run Windows applications , go with an Apple ;"], "output": "['system', ['bang-up']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You wo n't have to spend gobs of money on some inefficient virus program that needs to be updated every month and that constantly drains your wallet ."], "output": "['virus', ['inefficient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's color is even cool ."], "output": "['color', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["keys are all in weird places and is way too large for the way it is designed ."], "output": "['keys', ['weird', 'large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , a Mac is much more money than the average laptop out there , but there is no comparison in style , speed and just cool factor ."], "output": "['style', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , a Mac is much more money than the average laptop out there , but there is no comparison in style , speed and just cool factor ."], "output": "['speed', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard feels good and I type just fine on it ."], "output": "['keyboard', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought the white Mac computers looked dirty too quicly where you use the mousepad and where you place your hands when typing ."], "output": "['mousepad', ['dirty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And not to mention after using it for a few months or so , the battery will slowly less and less hold a charge until you ca n't leave it unplugged for more than 5 minutes without the thing dying ."], "output": "['battery', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BEST BUY - 5 STARS + + + ( sales , service , respect for old men who are n't familiar with the technology ) DELL COMPUTERS - 3 stars DELL SUPPORT - owes a me a couple"], "output": "['sales', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BEST BUY - 5 STARS + + + ( sales , service , respect for old men who are n't familiar with the technology ) DELL COMPUTERS - 3 stars DELL SUPPORT - owes a me a couple"], "output": "['service', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["no complaints with their desktop , and maybe because it just sits on your desktop , and you do n't carry it around , which could jar the hard drive , or the motherboard ."], "output": "['hard', ['jar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["no complaints with their desktop , and maybe because it just sits on your desktop , and you do n't carry it around , which could jar the hard drive , or the motherboard ."], "output": "['motherboard', ['jar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they cost more , but they more than make up for it in speed , construction quality , and longevity ."], "output": "['speed', ['make']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they cost more , but they more than make up for it in speed , construction quality , and longevity ."], "output": "['construction', ['make']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they cost more , but they more than make up for it in speed , construction quality , and longevity ."], "output": "['longevity', ['make']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they cost more , but they more than make up for it in speed , construction quality , and longevity ."], "output": "['cost', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It absolutely is more expensive than most PC laptops , but the ease of use , security , and minimal problems that have arisen make it well worth the pricetag ."], "output": "['use', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It absolutely is more expensive than most PC laptops , but the ease of use , security , and minimal problems that have arisen make it well worth the pricetag ."], "output": "['pricetag', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It gets stuck all of the time you use it , and you have to keep tapping on it to get it to work ."], "output": "['use', ['stuck']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["lots of preloaded software ."], "output": "['preloaded', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wish it had a webcam though , then it would be perfect !"], "output": "['webcam', ['wish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My favorite part of this computer is that it has a vga port so I can connect it to a bigger screen ."], "output": "['vga', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My favorite part of this computer is that it has a vga port so I can connect it to a bigger screen ."], "output": "['screen', ['bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another thing I might add is the battery life is excellent ."], "output": "['battery', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One drawback , I wish the keys were backlit ."], "output": "['keys', ['drawback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wish the volume could be louder and the mouse didnt break after only a month ."], "output": "['volume', ['louder']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wish the volume could be louder and the mouse didnt break after only a month ."], "output": "['mouse', ['didnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I play a lot of casual games online , and the touchpad is very responsive ."], "output": "['touchpad', ['responsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Granted , it 's still a very new laptop but in comparison to my previous laptops and desktops , my Mac boots up noticeably quicker ."], "output": "['boots', ['quicker']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It caught a virus that completely wiped out my hard drive in a matter of hours ."], "output": "['hard', ['wiped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is everything I 'd hoped it would be from a look and feel standpoint , but somehow a bit more sturdy ."], "output": "['look', ['sturdy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only fact i dont like about apples is they generally use safari and i dont use safari but after i install Mozzilla firfox i love every single bit about it ."], "output": "['safari', ['dont']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only fact i dont like about apples is they generally use safari and i dont use safari but after i install Mozzilla firfox i love every single bit about it ."], "output": "['Mozzilla', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great battery , speed , display ."], "output": "['battery', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great battery , speed , display ."], "output": "['speed', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great battery , speed , display ."], "output": "['display', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The delivery was fast , and I would not hesitate to purchase this laptop again ."], "output": "['delivery', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been impressed with the battery life and the performance for such a small amount of memory ."], "output": "['battery', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been impressed with the battery life and the performance for such a small amount of memory ."], "output": "['performance', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been impressed with the battery life and the performance for such a small amount of memory ."], "output": "['memory', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's applications are terrific , including the replacements for Microsoft office ."], "output": "['applications', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got it back and my built-in webcam and built-in mic were shorting out anytime I touched the lid , ( mind you this was my means of communication with my fiance who was deployed ) but I suffered thru it and would constandly have to reset the computer to be able to use my cam and mic anytime they went out ."], "output": "['built-in', ['shorting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got it back and my built-in webcam and built-in mic were shorting out anytime I touched the lid , ( mind you this was my means of communication with my fiance who was deployed ) but I suffered thru it and would constandly have to reset the computer to be able to use my cam and mic anytime they went out ."], "output": "['built-in', ['shorting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got it back and my built-in webcam and built-in mic were shorting out anytime I touched the lid , ( mind you this was my means of communication with my fiance who was deployed ) but I suffered thru it and would constandly have to reset the computer to be able to use my cam and mic anytime they went out ."], "output": "['cam', ['suffered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got it back and my built-in webcam and built-in mic were shorting out anytime I touched the lid , ( mind you this was my means of communication with my fiance who was deployed ) but I suffered thru it and would constandly have to reset the computer to be able to use my cam and mic anytime they went out ."], "output": "['mic', ['suffered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues ."], "output": "['board', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues ."], "output": "['connector', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues ."], "output": "['power', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My dad has one of the very first Toshibas ever made , yes its abit slow now but still works well and i hooked to my ethernet !"], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mostly I love the drag and drop feature ."], "output": "['drag', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["oh yeah , and if the fancy webcam breaks guess who you have to send it to to get it fixed ?"], "output": "['webcam', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered through MacMall , which saved me the sales tax I would have incurred buying locally ."], "output": "['sales', ['saved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , I also have several great software packages that came for free including iWork , GarageBand , and iMovie ."], "output": "['software', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , I also have several great software packages that came for free including iWork , GarageBand , and iMovie ."], "output": "['iWork', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , I also have several great software packages that came for free including iWork , GarageBand , and iMovie ."], "output": "['GarageBand', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , I also have several great software packages that came for free including iWork , GarageBand , and iMovie ."], "output": "['iMovie', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is very large and crystal clear with amazing colors and resolution ."], "output": "['screen', ['large', 'clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is very large and crystal clear with amazing colors and resolution ."], "output": "['colors', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is very large and crystal clear with amazing colors and resolution ."], "output": "['resolution', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After a little more than a year of owning my MacBook Pro , the monitor has completely died ."], "output": "['monitor', ['died']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brand of iTunes has just become ingrained in our lexicon now , but keep in mind that Apple started it all ."], "output": "['iTunes', ['ingrained']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Size : I know 13 is small ( especially for a desktop replacement ) but with an external monitor , who cares ."], "output": "['Size', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Size : I know 13 is small ( especially for a desktop replacement ) but with an external monitor , who cares ."], "output": "['external', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has no camera but , I can always buy and install one easy ."], "output": "['camera', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The display is incredibly bright , much brighter than my PowerBook and very crisp ."], "output": "['display', ['bright', 'crisp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The AMD Turin processor seems to always perform so much better than Intel ."], "output": "['AMD', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The start menu is not the easiest thing to navigate due to the stacking ."], "output": "['start', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Really like the textured surface which shows no fingerprints ."], "output": "['surface', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and the keyboard is nice ;"], "output": "['screen', ['bright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and the keyboard is nice ;"], "output": "['keyboard', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the machine is awesome and iLife is great and I love Snow Leopard X ."], "output": "['iLife', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the machine is awesome and iLife is great and I love Snow Leopard X ."], "output": "['Snow', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["High price tag , however ."], "output": "['price', ['High']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought learning the Mac OS would be hard , but it is easily picked up if you are familiar with a PC ."], "output": "['Mac', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I custom ordered the machine from HP and could NOT understand the techie due to his accent ."], "output": "['techie', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use and lightweight ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They also have a longer service life than other computers ( I have several friends who still use the older Apple PowerBooks ) ."], "output": "['service', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you check you will find the same notebook with the above missing ports and a dual core AMD or Intel processor ."], "output": "['ports', ['missing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop is a great price and has a sleek look ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop is a great price and has a sleek look ."], "output": "['look', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I especially like the keyboard which has chiclet type keys ."], "output": "['keyboard', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I especially like the keyboard which has chiclet type keys ."], "output": "['keys', ['chiclet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small screen somewhat limiting but great for travel ."], "output": "['screen', ['Small', 'limiting', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the not so good , I got the stock screen - which is VERY glossy ."], "output": "['stock', ['glossy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The gray color was a good choice ."], "output": "['gray', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would like to have volume buttons rather than the adjustment that is on the front ."], "output": "['volume', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing ."], "output": "['processor', ['bummer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing ."], "output": "['computing', ['heavy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought a protector for my key pad and it works great : )"], "output": "['protector', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The magnetic plug-in power charging power cord is great ( I even put it to the test by accident ) - excellent innovation !"], "output": "['magnetic', ['great', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , fast and has great graphics for the money ."], "output": "['graphics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , fast and has great graphics for the money ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like how the Mac OS is so simple and easy to use ."], "output": "['Mac', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like how the Mac OS is so simple and easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While Apple 's saving grace is the fact that they at least stand behind their products , and their support is great , it would be nice if their products were more reliable to justify the premium ."], "output": "['support', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["only good thing is the graphics quality ."], "output": "['graphics', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The other lock-up problems are from a myriad of causes , the most common being a corrupted version of Appleworks which can render the browser useless ."], "output": "['Appleworks', ['corrupted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The other lock-up problems are from a myriad of causes , the most common being a corrupted version of Appleworks which can render the browser useless ."], "output": "['browser', ['useless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The paint wears off easily due to the keyboard being farther back than usual ."], "output": "['paint', ['wears']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The paint wears off easily due to the keyboard being farther back than usual ."], "output": "['keyboard', ['farther']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The store honored their warrenty and made the comment that they do n't even recommend the HP brand because of the problems with their warrentys ."], "output": "['warrentys', ['do', 'problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They sent out the box right away for me to send in my computer , they paid postage and whatnot , but when I got my computer back it still was n't running right , and now my CD drive was n't reading anything !"], "output": "['CD', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They sent out the box right away for me to send in my computer , they paid postage and whatnot , but when I got my computer back it still was n't running right , and now my CD drive was n't reading anything !"], "output": "['running', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the screen size is not that bad for email and web browsing ."], "output": "['screen', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the screen size is not that bad for email and web browsing ."], "output": "['web', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On my PowerBook G4 I would never use the trackpad I would use an external mouse because I did n't like the trackpad ."], "output": "['trackpad', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On my PowerBook G4 I would never use the trackpad I would use an external mouse because I did n't like the trackpad ."], "output": "['trackpad', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer does n't do that well with certain games it ca n't play some and it becomes too hot while playing games ."], "output": "['games', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Obviously one of the most important features of any computer is the `` human interface ."], "output": "['features', ['most']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Obviously one of the most important features of any computer is the `` human interface ."], "output": "['human', ['most']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yeah , of course smarty pants `` fix it now '' ) Software - Compared to the early 2011 edition I did see inbuilt applications crashing and it prompted me to send the report to Apple ( which I promptly did ) ."], "output": "['inbuilt', ['crashing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yeah , of course smarty pants `` fix it now '' ) Software - Compared to the early 2011 edition I did see inbuilt applications crashing and it prompted me to send the report to Apple ( which I promptly did ) ."], "output": "['Software', ['smarty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The body is a bit cheaply made so it will be interesting to see how long it holds up ."], "output": "['body', ['cheaply']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With a mac you do n't have to worry about antivirus software or firewall , it 's so wonderful ."], "output": "['antivirus', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With a mac you do n't have to worry about antivirus software or firewall , it 's so wonderful ."], "output": "['firewall', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Am very glad I bought it , great netbook , low price ."], "output": "['price', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Apple team also assists you very nicely when choosing which computer is right for you : )"], "output": "['Apple', ['nicely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I think part of the problem with this computer is Vista , yet I know Vista is n't the entire issue because my latest purchase was my Acer and it also has Vista ( I should have waited the few months to get the next operating system ) ."], "output": "['Vista', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The video chat is the only thing that is iffy about it but im sure once they unpdate the next version on the macbook book the quality of it will be better ."], "output": "['video', ['iffy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The video chat is the only thing that is iffy about it but im sure once they unpdate the next version on the macbook book the quality of it will be better ."], "output": "['quality', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That whole experience was just ridiculous we sent it in and after they told us that we had to pay $ 175 to fix it we were like we will just by a portable mouse which would be way cheaper but they refused to send the laptop back until we paid the $ 175 and it was fixed ."], "output": "['mouse', ['cheaper']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fan vents to the side , so no cooling pad needed , great feature !"], "output": "['cooling', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fan vents to the side , so no cooling pad needed , great feature !"], "output": "['feature', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i use my mac all the time , i love the software , the way it takes a short time to load things , how easy it is to use and most of all how you do n't have to worry about viruses ."], "output": "['software', ['love', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wasted me at least 8 hours of installation time ."], "output": "['installation', ['Wasted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has far exceeded my expectations for power , storage , and abilitiy ."], "output": "['power', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has far exceeded my expectations for power , storage , and abilitiy ."], "output": "['storage', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has far exceeded my expectations for power , storage , and abilitiy ."], "output": "['abilitiy', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A great feature is the spotlight search : one can search for documents by simply typing a keyword , rather than parsing tens of file folders for a document ."], "output": "['spotlight', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A great feature is the spotlight search : one can search for documents by simply typing a keyword , rather than parsing tens of file folders for a document ."], "output": "['feature', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am enjoying it and the quality it provides is great !"], "output": "['quality', ['enjoying', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Suffice it to say , my MacBook Pro keeps me going with its long battery life and blazing speed ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Suffice it to say , my MacBook Pro keeps me going with its long battery life and blazing speed ."], "output": "['speed', ['blazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The OS is also very user friendly , even for those that switch from a PC , with a little practice you can take full advantage of this OS !"], "output": "['OS', ['user']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["iTunes is a handy music-management program , and it is essential for anyone with an iPod ."], "output": "['iTunes', ['handy', 'essential']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["iTunes is a handy music-management program , and it is essential for anyone with an iPod ."], "output": "['program', ['handy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've had to call Apple support to set up my new printer and have had wonderful experiences with helpful , english speaking ( from Vancouver ) techs that walked me through the processes to help me ."], "output": "['Apple', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've had to call Apple support to set up my new printer and have had wonderful experiences with helpful , english speaking ( from Vancouver ) techs that walked me through the processes to help me ."], "output": "['techs', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I need graphic power to run my Adobe Creative apps efficiently ."], "output": "['graphic', ['efficiently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I need graphic power to run my Adobe Creative apps efficiently ."], "output": "['Adobe', ['efficiently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the programs are esay to use and are quick to process this computer works like a charm ."], "output": "['programs', ['esay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the programs are esay to use and are quick to process this computer works like a charm ."], "output": "['use', ['esay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tech support tells me the latter problem is a power supply problem and have offered to fix it if it happens again ."], "output": "['power', ['problem', 'problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sells for the same as a netbook without sacrificing size ."], "output": "['size', ['sacrificing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["upon giving them the serial number the first thing I was told , was that it was out of warranty and I could pay to have it repaired ."], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Windows XP SP2 caused many problems on the computer , so I had to remove it ."], "output": "['Windows', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this is my second one and the same problem , bad video card unreliable overall , this will be my second time returning this laptop back to best buy ."], "output": "['video', ['bad', 'unreliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With awesome graphics and assuring security , it 's perfect !"], "output": "['graphics', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With awesome graphics and assuring security , it 's perfect !"], "output": "['security', ['assuring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Laptop was in new condition and operational , but for the audio problem when 1st sent for repair ."], "output": "['audio', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was disappointed when I realized that the keyboard does n't light up on this model ."], "output": "['keyboard', ['disappointed', 'does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It runs perfectly ."], "output": "['runs', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The laptop was very easy to set up ."], "output": "['set', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sometimes the screen even goes black on this computer ."], "output": "['screen', ['black']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend for word processing and internet users ."], "output": "['word', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend for word processing and internet users ."], "output": "['internet', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Since I 've had this computer I 've only used the trackpad because it is so nice and smooth ."], "output": "['trackpad', ['nice', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A longer battery life would have been great - but it meets it 's spec quite easily ."], "output": "['battery', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A longer battery life would have been great - but it meets it 's spec quite easily ."], "output": "['spec', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Who could n't love a DVD burner , 80-gigabyte HD , and fairly new graphics chip ? As I soon discovered , though , there is a reason for which similarly-configured Sony and Toshiba machines cost more : they use higher-quality components that are faster , better-configured , and end up lasting a lot longer ."], "output": "['graphics', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Who could n't love a DVD burner , 80-gigabyte HD , and fairly new graphics chip ? As I soon discovered , though , there is a reason for which similarly-configured Sony and Toshiba machines cost more : they use higher-quality components that are faster , better-configured , and end up lasting a lot longer ."], "output": "['components', ['higher-quality', 'faster', 'better-configured', 'longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its fast and another thing I like is that it has three USB ports ."], "output": "['USB', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The salesman talked us into this computer away from another we were looking at and we have had nothing but problems with software problems and just not happy with it ."], "output": "['software', ['problems', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That system is fixed ."], "output": "['system', ['fixed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer itself was fast , ran smoothly , and had no problems ."], "output": "['ran', ['smoothly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Like the price and operation ."], "output": "['price', ['Like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Like the price and operation ."], "output": "['operation', ['Like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brand is tarnished in my heart ."], "output": "['brand', ['tarnished']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is likely due to poor grounding and isolation between the components , and I 'm hoping that it can be fixed with a ground loop isolator , but I still expected better product quality for this price range ."], "output": "['components', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is likely due to poor grounding and isolation between the components , and I 'm hoping that it can be fixed with a ground loop isolator , but I still expected better product quality for this price range ."], "output": "['quality', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'have had it for about a 1 1/2 and yes I have had an issue with it one month out of warranty ."], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Once open , the leading edge is razor sharp ."], "output": "['leading', ['razor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Maximum sound is n't nearly as loud as it should be ."], "output": "['Maximum', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loaded windows 7 via Bootcamp and it works flawlessly !"], "output": "['windows', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loaded windows 7 via Bootcamp and it works flawlessly !"], "output": "['Bootcamp', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Laptop for the price , works well with action pack games ."], "output": "['price', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Laptop for the price , works well with action pack games ."], "output": "['action', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Laptop for the price , works well with action pack games ."], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the price is higher then Dell laptops , the Macbooks are worth the dough ."], "output": "['price', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would not recommend this to anyone wanting a notebook expecting the performance of a Desktop it does not meet the expectations ."], "output": "['performance', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook arrived in a nice twin packing and sealed in the box , all the functions works great ."], "output": "['twin', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook arrived in a nice twin packing and sealed in the box , all the functions works great ."], "output": "['functions', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So what if the laptops/mobile phones look chic and cool ? The after sales support is terrible ."], "output": "['after', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So what if the laptops/mobile phones look chic and cool ? The after sales support is terrible ."], "output": "['look', ['chic', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I hate the display screen and I have done everything I could do the change it ."], "output": "['display', ['hate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also like the acer arcade but these were reallythe only two things I liked about this laptop ."], "output": "['acer', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have not yet needed any customer support with this yet so to me that is a great thing , which is leaps and bounds ahead of PC in my opinion ."], "output": "['customer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I gave it to my daughter because I just hated the screen , hated that it had no cd drive to at least play cd 's when I wanted to listen to music and do schoolwork ."], "output": "['screen', ['hated', 'hated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I gave it to my daughter because I just hated the screen , hated that it had no cd drive to at least play cd 's when I wanted to listen to music and do schoolwork ."], "output": "['cd', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It runs very quiet too which is a plus ."], "output": "['runs', ['quiet', 'plus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but it has a major design flaw ."], "output": "['design', ['flaw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was heavy , bulky , and hard to carry because of the size ."], "output": "['size', ['heavy', 'bulky', 'hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The games included are very good games ."], "output": "['games', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this computer will last you at least 7 years , thats an amazing life spanned an electronic ."], "output": "['life', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's super fast and a great value for the price !"], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's super fast and a great value for the price !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Three , the mac book has advantages over pcs ' with linux based os there is very few problems with system performance when it comes to a mac ."], "output": "['system', ['few']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A mac is very easy to use and it simply makes sense ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is so much easier to use"], "output": "['use', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is so nice not to worry about that and the extra expense that comes along with the necessary virus protection on PC 's ."], "output": "['virus', ['nice', 'necessary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor screams , and because of the unique way that Apple OSX 16 functions , most of the graphics are routed through the hardware rather than the software ."], "output": "['processor', ['screams']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor screams , and because of the unique way that Apple OSX 16 functions , most of the graphics are routed through the hardware rather than the software ."], "output": "['OSX', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wanted something that had a new Intel Core processors and HDMI port so that we could hook it up directly to our TV ."], "output": "['Intel', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Apple will run Internet Explorer , but at an amazingly slow rate ."], "output": "['Internet', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price premium is a little much , but when you start looking at the features it is worth the added cash ."], "output": "['price', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price premium is a little much , but when you start looking at the features it is worth the added cash ."], "output": "['features', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ca n't say enough of how satisfied I am with their product and help aftermarket ."], "output": "['product', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I connect a LaCie 2Big external drive via the firewire 800 interface , which is useful for Time Machine ."], "output": "['LaCie', ['useful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I connect a LaCie 2Big external drive via the firewire 800 interface , which is useful for Time Machine ."], "output": "['firewire', ['useful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I connect a LaCie 2Big external drive via the firewire 800 interface , which is useful for Time Machine ."], "output": "['Time', ['useful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am overall very pleased with my toshiba satellite , I like the extra features , I love the windows 7 home premium ."], "output": "['extra', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am overall very pleased with my toshiba satellite , I like the extra features , I love the windows 7 home premium ."], "output": "['windows', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life was shorter than expected ."], "output": "['battery', ['shorter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard is top notch ."], "output": "['keyboard', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It drives me crazy when I want to download a game or something of that nature and I ca n't play it because its not compatable with the software ."], "output": "['software', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The online tutorial videos make it super easy to learn if you have always used a PC ."], "output": "['online', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The image is great , and the soud is excelent ."], "output": "['image', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The image is great , and the soud is excelent ."], "output": "['soud', ['excelent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was very easy to just pick up and use -- It did not take long to get used to the Mac OS ."], "output": "['Mac', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was very easy to just pick up and use -- It did not take long to get used to the Mac OS ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is well worth the money it cost , Very good investment ."], "output": "['cost', ['well', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Upgrading from Windows 7 Starter , thru Windows 7 Home Premium , to Windows 7 Professional was a snap ;"], "output": "['Windows', ['snap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had upgraded my old MacBook to Lion , so I kind of knew what I was getting , but had n't been able to enjoy some of the awesome new multi-touch features ."], "output": "['multi-touch', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is a little glary , and I hated the clicking buttons , but I got used to them ."], "output": "['screen', ['glary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is a little glary , and I hated the clicking buttons , but I got used to them ."], "output": "['clicking', ['hated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not to mention , the battery life is absolutely amazing ."], "output": "['battery', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The macbook rarely requires a hard reboot ."], "output": "['hard', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now for the hardware problems ."], "output": "['hardware', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's fast and has excellent battery life ."], "output": "['battery', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apple care included ."], "output": "['Apple', ['included']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Features like the font are very block-like and old school ."], "output": "['font', ['block-like', 'old']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Features like the font are very block-like and old school ."], "output": "['Features', ['block-like', 'old']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is loaded with programs that is of no good for the average user , that makes it run way to slow ."], "output": "['programs', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is loaded with programs that is of no good for the average user , that makes it run way to slow ."], "output": "['run', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I feel that it was poorly put together , because once in a while different plastic pieces would come off of it ."], "output": "['plastic', ['come']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Windows is also rather unsteady on its feet and is susceptible to many bugs ."], "output": "['Windows', ['unsteady', 'susceptible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND THE WARRANTY COMPANY IS HORRIBLE ."], "output": "['WARRANTY', ['HORRIBLE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only bad part is the size / weight ."], "output": "['size', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only bad part is the size / weight ."], "output": "['weight', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The little battery that it did have would only last about an hour while just having it on the desktop ."], "output": "['battery', ['little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I liked the aluminum body ."], "output": "['aluminum', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its good for playing my apps on Facebook or watching movies ."], "output": "['watching', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its good for playing my apps on Facebook or watching movies ."], "output": "['playing', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the build quality to the performance , everything about it has been sub-par from what I would have expected from Apple ."], "output": "['build', ['sub-par']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the build quality to the performance , everything about it has been sub-par from what I would have expected from Apple ."], "output": "['performance', ['sub-par']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the dock where I can simply drop a file ontop of a particular program , and the program will simply open that file ."], "output": "['dock', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the dock where I can simply drop a file ontop of a particular program , and the program will simply open that file ."], "output": "['program', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["pretty much everything else about the computer is good it just stops working out of no were ."], "output": "['working', ['stops']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was truly a great computer costing less than one thousand bucks before tax ."], "output": "['costing', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiting for the i7 was well worth it , great value for the price ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiting for the i7 was well worth it , great value for the price ."], "output": "['i7', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now , , , , , my monitor has been acting up for about 2 months ."], "output": "['monitor', ['acting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , the extended warranty was a problem ."], "output": "['extended', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Boots up fast and runs great !"], "output": "['Boots', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Boots up fast and runs great !"], "output": "['runs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Lightweight and the screen is beautiful !"], "output": "['screen', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They sent it back with a huge crack in it and it still did n't work ."], "output": "['work', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook arrived in a nice twin packing and sealed in the box , all the functions works great ."], "output": "['twin', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook arrived in a nice twin packing and sealed in the box , all the functions works great ."], "output": "['functions', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They say sorry out of warranty ."], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After having two PC laptops die with in the past 3 years , I was led to the Apple display at Best Buy by the sleek design and promise of less tech issues ."], "output": "['design', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After having two PC laptops die with in the past 3 years , I was led to the Apple display at Best Buy by the sleek design and promise of less tech issues ."], "output": "['tech', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The size is perfect and I do not recommend anything bigger except for any person who can exceed the limited space it gives you ."], "output": "['size', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The size is perfect and I do not recommend anything bigger except for any person who can exceed the limited space it gives you ."], "output": "['space', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service I received from Toshiba went above and beyond the call of duty ."], "output": "['service', ['above', 'beyond']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have had many higher priced computers crash and burn long before ever got to use all that great memory and speed , etc ."], "output": "['memory', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have had many higher priced computers crash and burn long before ever got to use all that great memory and speed , etc ."], "output": "['speed', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have had many higher priced computers crash and burn long before ever got to use all that great memory and speed , etc ."], "output": "['priced', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend it just because of the internet speed probably because thats the only thing i really care about ."], "output": "['internet', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen shows great colors ."], "output": "['screen', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen shows great colors ."], "output": "['colors', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Reason why ? It 's because when you buy it , you know first thing that you will not lose any value for that laptop , the price will stay the same for the next year , and even if Apple does decides to change mode , your laptop value will only drop 10-20 % , unlike PC laptops which drop more than 80 % ."], "output": "['value', ['drop']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Reason why ? It 's because when you buy it , you know first thing that you will not lose any value for that laptop , the price will stay the same for the next year , and even if Apple does decides to change mode , your laptop value will only drop 10-20 % , unlike PC laptops which drop more than 80 % ."], "output": "['price', ['stay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 17 inch screen is very large , but the computer is very light ."], "output": "['17', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My opinion of Sony has been dropping as fast as the stock market , given their horrible support , but this machine just caused another plunge ."], "output": "['support', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the Bluetooth to work properly , you must install the Launch Manager on the Drivers/Applications DVD , or it will not show after the reload ."], "output": "['Bluetooth', ['properly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also liked the glass screen ."], "output": "['glass', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The switchable graphic card is pretty sweet when you want gaming on the laptop ."], "output": "['switchable', ['sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life has not decreased since I bought it , so i 'm thrilled with that ."], "output": "['battery', ['decreased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I called Toshiba , they would not do anything and even tried to charge me $ 35 for the phone call , even though they did n't offer any technical support ."], "output": "['technical', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought this notebook and only had it for 3 months If it is overload with updates the BOOT MGR ."], "output": "['BOOT', ['overload']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh and if thats not bad enough it does n't come with a recovery cd so you can make one if you know how to or buy one if you buy it the cost is $ 25 for two cds ."], "output": "['recovery', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price and features more than met my needs ."], "output": "['price', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price and features more than met my needs ."], "output": "['features', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Skype is just so dang cool with this machine too ."], "output": "['Skype', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse buttons are hard to push ."], "output": "['mouse', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , HDD secures inside using rails , and there is only one set on the main hard drive ."], "output": "['HDD', ['secures']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All I will say now is that it was over two grand less expensive and so much better quality than my hunk of crap Vaio ."], "output": "['quality', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Games being the main issue ."], "output": "['Games', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They say that this will invalidate the warranty on the hard drive ( I do n't really understand why but anyway ) ."], "output": "['warranty', ['invalidate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A great computer for light home use and business use ."], "output": "['home', ['light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A great computer for light home use and business use ."], "output": "['business', ['light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also consider the MS Office apps are all trial versions , hope you have your own copies ."], "output": "['MS', ['trial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even so , I like playing online games , so it was wonderful that there is a feature where I can dualboot Windows ."], "output": "['feature', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life is amazingly long at 7hrs and 5hrs if you use it ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["lightweight , long battery life , excellent transition from PC ;"], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is another driving influence that made me purchase this laptop ."], "output": "['price', ['driving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Nortons virus scan is only for a very short time unlike others that usually are good for a year ."], "output": "['Nortons', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is stamped and not in pieces therefore it is a stronger more resilient frame ."], "output": "['frame', ['stronger', 'resilient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am first time Mac Buyer and am amazed at features and ease of use the Mac offers ."], "output": "['features', ['amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am first time Mac Buyer and am amazed at features and ease of use the Mac offers ."], "output": "['use', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Came fully loaded - good ."], "output": "['loaded', ['fully', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I noticed windows has a new system called Windows 7 , what about us Vista users ? They should get all the bugs out of Vista before investing in a new system ."], "output": "['Windows', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing that I have , is the key broad is a little dark to see the letters , would help if it was a little lighter then it is ."], "output": "['key', ['dark']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the complete opposite to an ergonomic design ."], "output": "['design', ['opposite', 'ergonomic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would like at least a 4 hr . battery life ."], "output": "['battery', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing that I do n't like about my mac is that sometimes there are programs that I want to be able to run and I am not able to ."], "output": "['programs', ['do', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wireless has not been a issue for me , like some others have meantioned ."], "output": "['Wireless', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["MacBook Notebooks quickly die out because of their short battery life , as well as the many background programs that run without the user 's knowlede ."], "output": "['battery', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["MacBook Notebooks quickly die out because of their short battery life , as well as the many background programs that run without the user 's knowlede ."], "output": "['programs', ['background']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the things you can do with the trackpad make navigating around the computer and its programs so much simpler , quicker , and easier ."], "output": "['trackpad', ['simpler', 'quicker', 'easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the things you can do with the trackpad make navigating around the computer and its programs so much simpler , quicker , and easier ."], "output": "['navigating', ['simpler', 'quicker', 'easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I guess the only good thing that came out of these were the speakers and the subwoofer ."], "output": "['speakers', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I guess the only good thing that came out of these were the speakers and the subwoofer ."], "output": "['subwoofer', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Theres a built in camera with special effects- for video and photography ."], "output": "['built', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All for such a great price ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another thing is that after only a month the left mouse key broke and it costed $ 175 to send it in to fix it ."], "output": "['left', ['broke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has good speed and plenty of hard drive space ."], "output": "['speed', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has good speed and plenty of hard drive space ."], "output": "['hard', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Clear picture on it and everything ."], "output": "['picture', ['Clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very long-life battery ( up to 10-11 hours depending on how you configure power level settings ) ."], "output": "['battery', ['long-life']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is awesome , battery life is good ."], "output": "['Screen', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is awesome , battery life is good ."], "output": "['battery', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The black model also has a very nice seamless appearance - one of the better looking notebooks I 've seen ."], "output": "['appearance', ['nice', 'seamless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The technical service for dell is so 3rd world it might as well not even bother ."], "output": "['technical', ['3rd']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics were awful and the warranty is n't even worth the cheap payment on the computer ."], "output": "['graphics', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics were awful and the warranty is n't even worth the cheap payment on the computer ."], "output": "['warranty', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They gave me a hard time yet again , but their was a malfunction in the battery itself , it did n't die ."], "output": "['battery', ['malfunction']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't feel comfortable doing it yourself , just buy the case and be happy , plus it looks nice , I bought the white one from Best Buy ."], "output": "['case', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent speed for processing data ."], "output": "['speed', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has come into good use for my finances , scheduling , my parents business expenses , and it is definitely amazing for gaming ."], "output": "['gaming', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has come into good use for my finances , scheduling , my parents business expenses , and it is definitely amazing for gaming ."], "output": "['use', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was taught to use Photoshop and was amazed ."], "output": "['Photoshop', ['amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Somehow the system clock got messed up after reboot ."], "output": "['system', ['messed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the macbook pro it comes with free security software to protect it from viruses and other intrusive things from downloads and internet surfing or emails ."], "output": "['security', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The driver updates do n't fix the issue , very frustrating ."], "output": "['driver', ['frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It doesnt work worth a damn ."], "output": "['work', ['doesnt', 'damn']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It works really well ."], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bigger HD , better graphics card , and a bid HD ."], "output": "['HD', ['Bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bigger HD , better graphics card , and a bid HD ."], "output": "['HD', ['bid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bigger HD , better graphics card , and a bid HD ."], "output": "['graphics', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The built in camera is very useful when chatting with other techs in remote buildings on our campus ."], "output": "['built', ['useful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The DVD burner broke after burning 3 DVD 'd during that time !"], "output": "['DVD', ['broke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It works fine with our wireless and they 've had not problems ."], "output": "['works', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Product support very poor as each phone call costs me long distan"], "output": "['Product', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall the computer is very easy to use , the screen is perfect , great computer , my daughter loves ."], "output": "['screen', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall the computer is very easy to use , the screen is perfect , great computer , my daughter loves ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The casing of the power cord fried and shocked my husband when he pulled it out of the socket ."], "output": "['casing', ['fried']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It does not keep internet signals no matter where you bring it ."], "output": "['internet', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a great product for a great price !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But see the macbook pro is different because it may have a huge price tag but it comes with the full software that you would actually need and most of it has free future updates ."], "output": "['price', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But see the macbook pro is different because it may have a huge price tag but it comes with the full software that you would actually need and most of it has free future updates ."], "output": "['software', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But see the macbook pro is different because it may have a huge price tag but it comes with the full software that you would actually need and most of it has free future updates ."], "output": "['updates', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and the multiple page viewer ( allows you to press one button to see every separate page currently opened at the same time in one screen ) are great for those who are working non stop or just shopping online ."], "output": "['multiple', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard good sized and easy to use ."], "output": "['Keyboard', ['good', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard good sized and easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["HP said it was out of warranty ."], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["wonderful features ."], "output": "['features', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Im glad that it has such great features in it ."], "output": "['features', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like those programs better than Office and you can save your files to be completely compatible with the Office programs as well ."], "output": "['programs', ['like', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like those programs better than Office and you can save your files to be completely compatible with the Office programs as well ."], "output": "['Office', ['compatible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wifi too ."], "output": "['wifi', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["WHEN TYPING , LETTERS AND SPACES ARE FREQUENTLY OMITTED REQUIRING THE USER TO REDO MANY WORDS AND SENTENCES ."], "output": "['TYPING', ['OMITTED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only a few days after I received the computer back , the screen froze again ."], "output": "['screen', ['froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is not ideal for children because of the temp ."], "output": "['temp', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although i do believe that Windows operating system may be to fault for some of the problems ."], "output": "['Windows', ['fault']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great OS , fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port ."], "output": "['OS', ['Great', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great OS , fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port ."], "output": "['processor', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great OS , fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port ."], "output": "['thunderbolt', ['adding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lcd screen stopped working on mine after 10 months ."], "output": "['lcd', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Images are crisp and clean ."], "output": "['Images', ['crisp', 'clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["although its windows vista compared to windows xp sucks ."], "output": "['windows', ['sucks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have had numerous problems with Vista , such as Adobe Flash player just quits and has to be uninstalled and then reinsalled , Internet Explore just quits and you lose whatever you were working on , also , the same Windows update has appeared on this computer since we got it and has been updated probably 400 times , the same update ."], "output": "['Vista', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have had numerous problems with Vista , such as Adobe Flash player just quits and has to be uninstalled and then reinsalled , Internet Explore just quits and you lose whatever you were working on , also , the same Windows update has appeared on this computer since we got it and has been updated probably 400 times , the same update ."], "output": "['Adobe', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have had numerous problems with Vista , such as Adobe Flash player just quits and has to be uninstalled and then reinsalled , Internet Explore just quits and you lose whatever you were working on , also , the same Windows update has appeared on this computer since we got it and has been updated probably 400 times , the same update ."], "output": "['Internet', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have had numerous problems with Vista , such as Adobe Flash player just quits and has to be uninstalled and then reinsalled , Internet Explore just quits and you lose whatever you were working on , also , the same Windows update has appeared on this computer since we got it and has been updated probably 400 times , the same update ."], "output": "['Windows', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have had numerous problems with Vista , such as Adobe Flash player just quits and has to be uninstalled and then reinsalled , Internet Explore just quits and you lose whatever you were working on , also , the same Windows update has appeared on this computer since we got it and has been updated probably 400 times , the same update ."], "output": "['update', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I always have used a tower home PC and jumped to the laptop and have been very satisfied with its performance ."], "output": "['performance', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['iLife', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['iPhoto', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['iMovie', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['iWeb', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['iTunes', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['GarageBand', ['helpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs very fast with no problems and the iLife software that comes with it ( iPhoto , iMovie , iWeb , iTunes , GarageBand ) is all very helpful as well ."], "output": "['runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["At first it worked well for a month or so then the system board failed and I send it in to toshiba some complaints and three weeks later I then receive my laptop back only to discover that it still has the same problem so now I have to send it back again to get it fixed again ."], "output": "['system', ['failed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Until I bought the Dell , I thought you just looked for what you wanted ( size , software , options , hardware ) and purchase the best deal you could find ."], "output": "['hardware', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has plenty of memory , lots of hard drive , and great graphics ."], "output": "['memory', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has plenty of memory , lots of hard drive , and great graphics ."], "output": "['hard', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has plenty of memory , lots of hard drive , and great graphics ."], "output": "['graphics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , my girlfriend realized that the netbook 's hinge is a bit loose ( when you open or close the LCD ) ."], "output": "['hinge', ['loose']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My problem was with DELL Customer Service ."], "output": "['DELL', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Newegg 's RMA service was great as always , I contacted them late Friday night , and they issued me an RMA number and a PrePaid UPS shipping label the very next morning on Saturday ."], "output": "['RMA', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Design : very durable ."], "output": "['Design', ['durable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to go from one keyboard to another ."], "output": "['keyboard', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My ONLY issues are : 1 ) the screen/video resolution wo n't increase to a higher resolution then 1024 x 60"], "output": "['screen/video', ['issues', 'wo']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Apple applications ( ex . iPhoto ) are fun , easy , and really cool to use ( unlike the competition ) !"], "output": "['Apple', ['fun', 'easy', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Apple applications ( ex . iPhoto ) are fun , easy , and really cool to use ( unlike the competition ) !"], "output": "['iPhoto', ['fun', 'easy', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its pretty fast and does not have hiccups while I am using it for web browsing , uploading photos , watching movies ( 720p ) on occasion and creating presentations ."], "output": "['web', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its pretty fast and does not have hiccups while I am using it for web browsing , uploading photos , watching movies ( 720p ) on occasion and creating presentations ."], "output": "['uploading', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its pretty fast and does not have hiccups while I am using it for web browsing , uploading photos , watching movies ( 720p ) on occasion and creating presentations ."], "output": "['watching', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its pretty fast and does not have hiccups while I am using it for web browsing , uploading photos , watching movies ( 720p ) on occasion and creating presentations ."], "output": "['creating', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality Display I love HP , , it 's the only computer/printer we will buy ."], "output": "['Quality', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite the inconvenient weight , I opted for the 12 cell battery ."], "output": "['weight', ['inconvenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First it burned or fused the power adapter plug ."], "output": "['power', ['burned', 'fused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the features are great , the only thing it needs is better speakers ."], "output": "['features', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the features are great , the only thing it needs is better speakers ."], "output": "['speakers', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was still working , but there was nothing on the screen ."], "output": "['screen', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought this laptop and found its TAB is not functioning ."], "output": "['TAB', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["-Called headquarters again , they report that TFT panel is broken , should be fixed by the end of the week ( week 3 ) ."], "output": "['TFT', ['broken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Navigation through the computer is far superior compared to Windows operating systems , as well ."], "output": "['Navigation', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary , reduces the screen size and increases the bulk ."], "output": "['screen', ['unnecessary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary , reduces the screen size and increases the bulk ."], "output": "['screen', ['reduces']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary , reduces the screen size and increases the bulk ."], "output": "['bulk', ['increases']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the picture , video , and music software is nowhere close to professional grade software Im used to ( CS5 ) but does the job for beginner and even intermediate media designers ."], "output": "['music', ['nowhere', 'does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the picture , video , and music software is nowhere close to professional grade software Im used to ( CS5 ) but does the job for beginner and even intermediate media designers ."], "output": "['picture', ['nowhere', 'does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the picture , video , and music software is nowhere close to professional grade software Im used to ( CS5 ) but does the job for beginner and even intermediate media designers ."], "output": "['video', ['nowhere', 'does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The much lauded combined touch pad and clicker is a nightmare ."], "output": "['combined', ['nightmare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Unibody construction is solid , sleek and beautiful ."], "output": "['Unibody', ['solid', 'sleek', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This MacBook is an outstanding product with great value ."], "output": "['value', ['outstanding', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had to re-install Windows within two weeks of the purchase and soon discovered cracks in the screen hinges ."], "output": "['screen', ['cracks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A SECOND PROBLEM INVOLVES THE BATTERY WHICH IS ADVERTISED AS HAVING A STORAGE LIFE OF 11 HOURS BUT WHEN FULLY CHARGED SHOWS ONLY 7 HOURS OF SERVICE ."], "output": "['BATTERY', ['PROBLEM']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and plenty of storage with 250 gb ( though I will upgrade this and the ram.. )"], "output": "['storage', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No temporary replacement , they are out of replacements because `` many computers had problems with the Nvidia chipset `` -Inquired status of repair ."], "output": "['Nvidia', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Programs would crash all the time , and it turned out to be a very unstable , unreliable laptop for me ."], "output": "['Programs', ['crash']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I BOUGHT THIS LAP TOP AND THE CHARGE TIME DOSE N'T LAST AS LONG AS THEY SAY IT WILL MORE LIKE 2 HOURS"], "output": "['CHARGE', ['LONG']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the key bindings take a little getting used to , but have loved the Macbook Pro ."], "output": "['key', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is reasonable size ."], "output": "['Keyboard', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is reasonable size ."], "output": "['size', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fan noise : The fan made a constant hissing noise in the background ."], "output": "['Fan', ['noise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fan noise : The fan made a constant hissing noise in the background ."], "output": "['fan', ['noise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and clear , the operating system is solid and friendly to a novice ."], "output": "['screen', ['bright', 'clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and clear , the operating system is solid and friendly to a novice ."], "output": "['operating', ['solid', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a .1 ghz faster processor and a stock 500gb hard drive ."], "output": "['processor', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The feature are good enough for what I need ."], "output": "['feature', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Finally , the biggest problem has been tech support ."], "output": "['tech', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["`` This is n't a big deal , I have n't noticed the issue with DVDs or other media , only through USB output ."], "output": "['USB', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With Windows laptops a wireless mouse is an absolute must ."], "output": "['wireless', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( I had been a Windows/Linux user before this ) I love the size because the screen is big enough for what I use it for ( Internet , artwork ) , and yet it is small enough to be reasonably portable ."], "output": "['size', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( I had been a Windows/Linux user before this ) I love the size because the screen is big enough for what I use it for ( Internet , artwork ) , and yet it is small enough to be reasonably portable ."], "output": "['screen', ['big', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good quality and well made ."], "output": "['quality', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my niece and nephew have played a few web games and it runs anything that does n't require a dedicated video card ."], "output": "['video', ['dedicated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It had the full sized touch pad with 2 buttons instead of just one ."], "output": "['touch', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Typically , when I purchase a new laptop I always end up using an external mouse for convenience ."], "output": "['external', ['convenience']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was super easy to set up and Is really easy to get used to ."], "output": "['set', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing that can be updated is the video , other than that you 're all set ."], "output": "['video', ['updated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its a good laptop for its value ."], "output": "['value', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then the hard drive failed ;"], "output": "['hard', ['failed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Plain and simple , it ( laptop ) runs great and loads fast ."], "output": "['runs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Plain and simple , it ( laptop ) runs great and loads fast ."], "output": "['loads', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["of course my warranty runs out next month ."], "output": "['warranty', ['runs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have found also , it is very easy to be able to access wireless internet access ;"], "output": "['wireless', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a great value for the money ."], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was a great laptop , ran great and was really fast ."], "output": "['ran', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery has never worked well ."], "output": "['battery', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I will never buy another computer from Dell ever again do to how awful it worked and how I was treated by the company ."], "output": "['company', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only problem is a lack of screen resolutions !"], "output": "['screen', ['problem', 'lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small enough to use on a long flight , Light enough to carry through airports and powerful enough to replace my desktop while on long business trips ."], "output": "['carry', ['Light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Typing on the keyboard becomes uncomfortable after extended use due to the sharp edges that your wrists rest on ."], "output": "['keyboard', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Typing on the keyboard becomes uncomfortable after extended use due to the sharp edges that your wrists rest on ."], "output": "['edges', ['sharp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has many great programs , such as ILife , iPhotos and others ."], "output": "['programs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has many great programs , such as ILife , iPhotos and others ."], "output": "['ILife', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has many great programs , such as ILife , iPhotos and others ."], "output": "['iPhotos', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is very well built ."], "output": "['built', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend this laptop to anybody that wants great performance from a laptop and would like to relax and not become enraged cursing the gods about to throw your laptop out the door ."], "output": "['performance', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen resolution was exactly what I was looking for ."], "output": "['screen', ['exactly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though it is running Snow Leopard , 2.4 GHz C2D is a bit of an antiquated CPU and thus the occasional spinning wheel would appear when running Office Mac applications such as Word or Excel ."], "output": "['CPU', ['antiquated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though it is running Snow Leopard , 2.4 GHz C2D is a bit of an antiquated CPU and thus the occasional spinning wheel would appear when running Office Mac applications such as Word or Excel ."], "output": "['spinning', ['occasional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no number pad to the right of the keyboard which is a bummer ."], "output": "['pad', ['no', 'bummer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no number pad to the right of the keyboard which is a bummer ."], "output": "['keyboard', ['bummer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If upgrade is possible to the full Windows 7 , then I will truly be a very happy geek ."], "output": "['Windows', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was originally concerned that I could n't view work I had done in college on my Mac because of the PC formatting , but I was even more thrilled to learn of programs like iLife and iWork that allow you to convert your PC documents into readable files on Macs ."], "output": "['programs', ['thrilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was originally concerned that I could n't view work I had done in college on my Mac because of the PC formatting , but I was even more thrilled to learn of programs like iLife and iWork that allow you to convert your PC documents into readable files on Macs ."], "output": "['iLife', ['thrilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was originally concerned that I could n't view work I had done in college on my Mac because of the PC formatting , but I was even more thrilled to learn of programs like iLife and iWork that allow you to convert your PC documents into readable files on Macs ."], "output": "['iWork', ['thrilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a big big , but since it has a 18.4 '' screen what would you expect !"], "output": "['18.4', ['big', 'big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Runs fast and the regular layout keyboard is so much better ."], "output": "['regular', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Runs fast and the regular layout keyboard is so much better ."], "output": "['Runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the programs are easy and straight forward on my MacBook Pro , it is clean and organized , which I always strive to be myself ."], "output": "['programs', ['easy', 'straight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Windows 7 Starter is terrific ( no you ca n't change the background ) but I do n't need to , I use it just for school work ."], "output": "['Windows', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Support has been lackluster and now I just want a refund ."], "output": "['Support', ['lackluster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["`` > iPhoto is probably the best program I have ever worked with : easy and convenient ."], "output": "['iPhoto', ['best', 'easy', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love to write and play with graphics and html programming and my new Toshiba works great on both !"], "output": "['works', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My laptop now has no battery ."], "output": "['battery', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Beta had better quality , but VHS became the industry standard ."], "output": "['quality', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Beta had better quality , but VHS became the industry standard ."], "output": "['VHS', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It made the computer much easier to use and navigate ."], "output": "['use', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It made the computer much easier to use and navigate ."], "output": "['navigate', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Needs longer lasting battery , More than 1 to 2 Hrs ."], "output": "['battery', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["in May I started having problems with the USB ports not working ."], "output": "['USB', ['problems', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design is awesome , quality is unprecedented ."], "output": "['design', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design is awesome , quality is unprecedented ."], "output": "['quality', ['unprecedented']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Mac version of Microsoft Office is cheaper than buying the actual and works just as well ."], "output": "['Mac', ['cheaper', 'as']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Toshiba Net book operates very well ."], "output": "['operates', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the touch pad is fine - again , it 's a real touch pad ."], "output": "['touch', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the touch pad is fine - again , it 's a real touch pad ."], "output": "['touch', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pictures are clear as can be ."], "output": "['pictures', ['clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is also very lightweight , making transporting this computer very easy ."], "output": "['transporting', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's wonderful for computer gaming ."], "output": "['gaming', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["AND the best part is that it even comes with a free printer ( when they have a certain promotion/offer going , of course ) !"], "output": "['printer', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it is very easy for anyone to use an apple and specially the mcbook pro notebook ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The flaws are , this computer is not for computer gamers because of the OS X ."], "output": "['OS', ['flaws']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They really do have the worlds very worst repair service ."], "output": "['repair', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was also able to install and use my Photoshop and AfterEffects programs easily ."], "output": "['Photoshop', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was also able to install and use my Photoshop and AfterEffects programs easily ."], "output": "['AfterEffects', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's perfect for everything and runs faster than an average pc !"], "output": "['runs', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then after paying for it to be examined I was told it was same problem cited on website but I 'd have to pay anyways since it was past warrenty ."], "output": "['warrenty', ['past']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm already hooked on the sleek look and dependability that this laptop has shown ."], "output": "['look', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm already hooked on the sleek look and dependability that this laptop has shown ."], "output": "['dependability', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And having to deal with the company has been a even worse nightmare ."], "output": "['company', ['worse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has all the features that are necessary for college and if not they are able to be added onto the computer ."], "output": "['features', ['necessary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've owned this labtop for less then two months , already the mouse button has broke ."], "output": "['mouse', ['broke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It did fairly well , other than it 's poor performance , overheating and occational blue screen ."], "output": "['performance', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The touchpad is very intuitive , so much so that I never want to use buttons to click again !"], "output": "['touchpad', ['intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["tons of bloatware and junk programs ."], "output": "['programs', ['junk']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["lots of extra space but the keyboard is ridiculously small ."], "output": "['space', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["lots of extra space but the keyboard is ridiculously small ."], "output": "['keyboard', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so bad that I 'm thinking I only got half a battery or something ."], "output": "['battery', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good keyboard , long battery life , largest hard drive and windows 7 ."], "output": "['keyboard', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good keyboard , long battery life , largest hard drive and windows 7 ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good keyboard , long battery life , largest hard drive and windows 7 ."], "output": "['hard', ['largest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor is very quick and effective as I load webpages and applications ."], "output": "['processor', ['quick', 'effective']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The processor is very quick and effective as I load webpages and applications ."], "output": "['load', ['quick', 'effective']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My battery went bad about a year and a half after having it and it cost around eighty to a hundred dollars !"], "output": "['battery', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It pretty much does everything we could ever need , and looks great to boot ."], "output": "['boot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a lifelong Windows user , I was extremely pleased to make the change to Mac ."], "output": "['Windows', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook is also made better , my computer has never got a virus , and the laptop runs just as fast as the first day I bought it ."], "output": "['runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I wiped nearly everything off of it , installed OpenOffice and Firefox , and I am operating an incredibly efficient and useful machine for a great price ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall I feel this netbook was poor quality , had poor performance , although it did have great battery life when it did work ."], "output": "['quality', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall I feel this netbook was poor quality , had poor performance , although it did have great battery life when it did work ."], "output": "['performance', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall I feel this netbook was poor quality , had poor performance , although it did have great battery life when it did work ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I picked it out because it was inexpensive ( $ 400 ) and I thought it would be a good , easy to use first laptop ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["MY ONLY PROBLEM IS I CAN NOT REG . THE PRODUCT KEY ."], "output": "['PRODUCT', ['PROBLEM']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sure it has the one touch keys but that was the best feature of the computer ."], "output": "['feature', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sure it has the one touch keys but that was the best feature of the computer ."], "output": "['one', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great battery life ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The real stand out on this computer is the feel of the keyboard and it 's speed ."], "output": "['keyboard', ['stand']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The real stand out on this computer is the feel of the keyboard and it 's speed ."], "output": "['speed', ['stand']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["At first , the computer seemed a great deal -- seemingly high-end specs for a low , low price ."], "output": "['specs', ['high-end']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["At first , the computer seemed a great deal -- seemingly high-end specs for a low , low price ."], "output": "['price', ['low', 'low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delivery was early too ."], "output": "['Delivery', ['early']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the stability of the Mac software and operating system ."], "output": "['stability', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the stability of the Mac software and operating system ."], "output": "['Mac', ['Love', 'stability']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the stability of the Mac software and operating system ."], "output": "['operating', ['Love', 'stability']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's also very capable of doing moderate video editing ( although you may need the performance boost of the larger MacBook Pros for heavy duty mobile video editing ) ."], "output": "['video', ['capable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a faster processor and more ram ."], "output": "['processor', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a faster processor and more ram ."], "output": "['ram', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Laptops are usually used on the go , so why not give you a better battery ?"], "output": "['battery', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I will never complain about the price since I believe you get what you pay for and my MacBook Pro was worth every dollar ."], "output": "['price', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was n't a big fan of the Netbooks but this one was very well designed ."], "output": "['designed', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I still have that stupid bluetooth mouse to !"], "output": "['bluetooth', ['stupid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Would like more trendy , high tech features ."], "output": "['features', ['trendy', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is great but primary and secondary control buttons could be more durable ."], "output": "['Keyboard', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is great but primary and secondary control buttons could be more durable ."], "output": "['control', ['durable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is a bit glossy , but that 's not too bad ."], "output": "['Screen', ['glossy', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got it back again and was told the motherboard had been replaced , so I was now on the SECOND motherboard within 3 months ."], "output": "['motherboard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["2nd Best computer in the world only one way this computer might become the best is that it needs to upgreade patches to make less easier for people to hack into"], "output": "['patches', ['needs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the speed , especially !"], "output": "['speed', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It could be a perfect laptop if it would have faster system memory and its radeon 5850 would have DDR5 instead of DDR3 ."], "output": "['system', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only are the versions of these programs able to be saved , worked on and opened on both a PC and Mac , the versions of these programs on a Mac are graphically and functionally superior ."], "output": "['programs', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The speed gives you the power to work on these projects seamlessly , and multiple at a time if you sowish ."], "output": "['speed', ['seamlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awesome laptop and the perfect size to carry around in college ."], "output": "['size', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My real problem with it ? The statement of 7 hour battery life is not just mere exaggeration -- it 's a lie ."], "output": "['battery', ['problem', 'exaggeration']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life is also relatively good ."], "output": "['battery', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I definitely suggest getting an extended warranty , you will probably need it !"], "output": "['extended', ['suggest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have found it very easy to use , very informative , wonder alerts and tutorials making it very easy for someone like me who is not exactly technologically advanced to learn to use the various features and programs ."], "output": "['features', ['various']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have found it very easy to use , very informative , wonder alerts and tutorials making it very easy for someone like me who is not exactly technologically advanced to learn to use the various features and programs ."], "output": "['programs', ['various']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have found it very easy to use , very informative , wonder alerts and tutorials making it very easy for someone like me who is not exactly technologically advanced to learn to use the various features and programs ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do n't have stupid pop up windows ( even when I have pop ups blocked ) , I do n't have to wait 5 minutes for a webpage to download , and best of all I can run all the web programming software I need to use all at once without slowing me down ."], "output": "['pop', ['stupid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do n't have stupid pop up windows ( even when I have pop ups blocked ) , I do n't have to wait 5 minutes for a webpage to download , and best of all I can run all the web programming software I need to use all at once without slowing me down ."], "output": "['web', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Memory is upgradable ."], "output": "['Memory', ['upgradable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Web access through the 3G network is so slow , it 's very frustrating and VERY DISAPPOINTING ."], "output": "['3G', ['slow', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Web access through the 3G network is so slow , it 's very frustrating and VERY DISAPPOINTING ."], "output": "['Web', ['slow', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The large screen also helps when you are working in design based programs like Adobe Creative Suite ."], "output": "['screen', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first Dell I heard their customer service was lacking and that they were working on improving it !"], "output": "['customer', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As well as having the plug in the computer come loose ."], "output": "['plug', ['loose']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Second HDD cover has walls inside that need to be broken if you what to install one ."], "output": "['HDD', ['broken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great product by Apple with the new great looking design ."], "output": "['design', ['new', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the keyboard ."], "output": "['keyboard', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I use iphoto all the time , which is a great program for anyone who is into photography - amateurs and experts alike ."], "output": "['iphoto', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I use iphoto all the time , which is a great program for anyone who is into photography - amateurs and experts alike ."], "output": "['program', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is n't huge , but that does n't matter when I output media to the 50 inch LCD TV ."], "output": "['screen', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I wish is the 15 inch MacBook Pro has much better speakers on the side of the keyboard ."], "output": "['speakers', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now , as easy as it is to use , and I do think it is a great STARTER laptop ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ever since I bought this laptop , so far I 've experience nothing but constant break downs of the laptop and bad customer services I received over the phone with toshiba customer services hotlines ."], "output": "['customer', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , the space bar makes a noisy click every time you use it ."], "output": "['space', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["iPhotos is an excellent program for storing and organizing photos ."], "output": "['iPhotos', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["iPhotos is an excellent program for storing and organizing photos ."], "output": "['program', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than that its a great performing machine and well meets all my needs and more ."], "output": "['performing', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The programs are great , like iphoto ( love the editing capabilities ) , imail ( which can incorporate with the address book on the ipod and ipad ) , imovie , etc ."], "output": "['programs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The programs are great , like iphoto ( love the editing capabilities ) , imail ( which can incorporate with the address book on the ipod and ipad ) , imovie , etc ."], "output": "['iphoto', ['great', 'love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The programs are great , like iphoto ( love the editing capabilities ) , imail ( which can incorporate with the address book on the ipod and ipad ) , imovie , etc ."], "output": "['imail', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The programs are great , like iphoto ( love the editing capabilities ) , imail ( which can incorporate with the address book on the ipod and ipad ) , imovie , etc ."], "output": "['imovie', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Comfortable to use light easy to transport ."], "output": "['use', ['Comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Comfortable to use light easy to transport ."], "output": "['transport', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Computer itself is a good product but the repair depot stinks ."], "output": "['repair', ['stinks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought the price was great for the specs ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought the price was great for the specs ."], "output": "['specs', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only down fall is that it has no cd drive but i found that they are very cheap to by and also very portable making this the best friend to someone who is always looking for more space then they have ."], "output": "['cd', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , the hard disk capacity really does n't matter to me ."], "output": "['hard', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keys stick periodically and I havent had the laptop for 45 days yet ."], "output": "['Keys', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also like that you can scroll down in a window using two fingers on the trackpad ."], "output": "['trackpad', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything from the design to the OS is simple and to the point ."], "output": "['design', ['simple', 'to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything from the design to the OS is simple and to the point ."], "output": "['OS', ['simple', 'to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I personally like the gaming look but needed a machine that delivered gaming performance while still looking professional in front of my customers ."], "output": "['gaming', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This just keeps having it 's hard drive replaced !"], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When you look at the specs on Apple products in comparison to a Dell or a HP , yes they do seem to offer less for a higher cost ."], "output": "['cost', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only downfall is the volume control ."], "output": "['volume', ['downfall']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very fast boot up and shut down ."], "output": "['boot', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very fast boot up and shut down ."], "output": "['shut', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I finally decided on this laptop because it was the right price for what I need it ."], "output": "['price', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If internet connectivity is important I would recommend going with a dell net book for 50 bucks more , or buy a USB wireless card ."], "output": "['internet', ['important']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If internet connectivity is important I would recommend going with a dell net book for 50 bucks more , or buy a USB wireless card ."], "output": "['USB', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had read online that some users were having sound problems ."], "output": "['sound', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It discharges too quickly ."], "output": "['discharges', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But to be honest , the compatibility issues and the other little quirks make me think I ll buy a PC next time ."], "output": "['compatibility', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then it ceased charging at all ."], "output": "['charging', ['ceased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do not experience a lot of heat coming out of it , however I would highly suggest purchasing a stand however , due to the nature of the design of the macbook as it is one very large heat sink ."], "output": "['stand', ['suggest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do not experience a lot of heat coming out of it , however I would highly suggest purchasing a stand however , due to the nature of the design of the macbook as it is one very large heat sink ."], "output": "['heat', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["*= Webcam is a bit laggy , not the greatest ."], "output": "['Webcam', ['laggy', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've have n't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off ."], "output": "['plastic', ['problems', 'come']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've have n't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off ."], "output": "['usb', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wonderful sleek case design is only on the outside ."], "output": "['case', ['Wonderful', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is speedy when connected wirelessly to any network regardless if the connection is weak or not ."], "output": "['connection', ['speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pricing is very competitive ."], "output": "['pricing', ['competitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer is exceptionally thin for it 's screen size and processing power ."], "output": "['screen', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer is exceptionally thin for it 's screen size and processing power ."], "output": "['processing', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Maybe this is virus related , maybe not , but the computer has locked up many times , and on two occasions , the screen has simply gone black ."], "output": "['screen', ['black']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's graphics are n't bad at all , for the lower end of the MacBook Pro spectrum , easily capable of running StarCraft II and other games with comparable graphics ."], "output": "['graphics', ['are']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have Vista , so I am unable to install and uninstall some programs ."], "output": "['install', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have Vista , so I am unable to install and uninstall some programs ."], "output": "['uninstall', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and vivid and the keyboard is very easy to use , very important for use quick typers ."], "output": "['screen', ['bright', 'vivid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is bright and vivid and the keyboard is very easy to use , very important for use quick typers ."], "output": "['keyboard', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had my IWORKS , Itunes , Email , MS Office , network and printers set up and completely working perfectly within an hour ."], "output": "['IWORKS', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had my IWORKS , Itunes , Email , MS Office , network and printers set up and completely working perfectly within an hour ."], "output": "['Itunes', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had my IWORKS , Itunes , Email , MS Office , network and printers set up and completely working perfectly within an hour ."], "output": "['MS', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The macbooks are small enough to be very portable yet hold tons of information and performance ."], "output": "['performance', ['hold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only downfall is a lot of the software I have wo n't work with Mac and iWork is not worth the price of it ."], "output": "['iWork', ['downfall', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only downfall is a lot of the software I have wo n't work with Mac and iWork is not worth the price of it ."], "output": "['software', ['downfall']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only downfall is a lot of the software I have wo n't work with Mac and iWork is not worth the price of it ."], "output": "['price', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mousepad is a huge pain in the arse !"], "output": "['mousepad', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["since then i have had minor problems with slow operation ."], "output": "['operation', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Registration/1st use is easy ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Take your time and go through the tutorials patiently ."], "output": "['tutorials', ['patiently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i am a huge computer person i love anykind of computer that works well , but when i got this one i was so happy with the way it works and how it runs its amazing ."], "output": "['runs', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 4 USB ports are nice , but the two on the side only work now and then ."], "output": "['USB', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard could use some trimming ."], "output": "['Keyboard', ['trimming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its white color is stylish for college students and easy to take to carry and take to classes ."], "output": "['color', ['stylish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Returned laptop for repair a 2nd time and it came back with obvious physical damage ( keyboard bulging and speaker grill pressed in ) , buttons not working and USB ports inoperative ."], "output": "['keyboard', ['damage', 'bulging']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Returned laptop for repair a 2nd time and it came back with obvious physical damage ( keyboard bulging and speaker grill pressed in ) , buttons not working and USB ports inoperative ."], "output": "['speaker', ['damage', 'pressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Returned laptop for repair a 2nd time and it came back with obvious physical damage ( keyboard bulging and speaker grill pressed in ) , buttons not working and USB ports inoperative ."], "output": "['buttons', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Returned laptop for repair a 2nd time and it came back with obvious physical damage ( keyboard bulging and speaker grill pressed in ) , buttons not working and USB ports inoperative ."], "output": "['USB', ['inoperative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The letter A stopped working after the first week ."], "output": "['letter', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is what I call a good after sales service ."], "output": "['after', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I took off a star because the machine has a lot of junk software on it ."], "output": "['software', ['junk']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With what I do know how to do , the computer works beautiful ."], "output": "['works', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most everything is fine with this machine : speed , capacity , build ."], "output": "['speed', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most everything is fine with this machine : speed , capacity , build ."], "output": "['capacity', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most everything is fine with this machine : speed , capacity , build ."], "output": "['build', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I use this for my tutoring business , and since I 'm always bouncing from student to student , it is ideal for portability and battery life ( yes , it gets the 8 hours as advertised ! ) ."], "output": "['portability', ['ideal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I use this for my tutoring business , and since I 'm always bouncing from student to student , it is ideal for portability and battery life ( yes , it gets the 8 hours as advertised ! ) ."], "output": "['battery', ['ideal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is in the best condition and has a really high quality ."], "output": "['quality', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When it come time for warranty service to Toshiba you do n't matter ."], "output": "['warranty', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However the frozen screens kept happening ."], "output": "['screens', ['frozen']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is short on space , and downloads always had problems being completed , or were said to be 'corrupted ' ."], "output": "['space', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is short on space , and downloads always had problems being completed , or were said to be 'corrupted ' ."], "output": "['downloads', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["3 ) Horrible customer support"], "output": "['customer', ['Horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apple is always great about the aesthetics of things , they always come up with good looking products ."], "output": "['aesthetics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Runs smooth and quick ."], "output": "['Runs', ['smooth', 'quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The downside to this netbook is pretty much the same for any netbook : screen size is not something I 'd stare at for the entire 10-11 hours of battery life five days a week ."], "output": "['screen', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics are great ."], "output": "['graphics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["in 5 months the connect quality got worse and worse ."], "output": "['connect', ['worse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The big screen allows you to enjoy watching movies , pictures and etc !"], "output": "['screen', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic , not to mention the laptop was designed for right handed person ."], "output": "['headphone', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic , not to mention the laptop was designed for right handed person ."], "output": "['mic', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic , not to mention the laptop was designed for right handed person ."], "output": "['touch-pad', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the [ $ ] price ( special offer ) this is a great laptop ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What I 'd like is for the laptop to run well without having to purchase additional memory ."], "output": "['run', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is fast booting up , shutting down , and connection with the internet ."], "output": "['connection', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is fast booting up , shutting down , and connection with the internet ."], "output": "['booting', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is fast booting up , shutting down , and connection with the internet ."], "output": "['shutting', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life is great ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is not a serious gaming laptop or a serious media machine ;"], "output": "['gaming', ['serious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They replaced my hard drive as well as my mother board ."], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They replaced my hard drive as well as my mother board ."], "output": "['mother', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is nothing to complain about the system ."], "output": "['system', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and it comes with the new OSX that comes with new features that makes the use more easy ."], "output": "['OSX', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and it comes with the new OSX that comes with new features that makes the use more easy ."], "output": "['features', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and it comes with the new OSX that comes with new features that makes the use more easy ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now the screen is going darker , darker , darker ."], "output": "['screen', ['darker']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I sent it back and found this time that the battery was faulty , so I got a new one and some other fixes they found ."], "output": "['battery', ['faulty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pick for portability and affordability ."], "output": "['portability', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pick for portability and affordability ."], "output": "['affordability', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's fast , it 's easy easy easy to set up , easy to hook to my wireless network ."], "output": "['set', ['easy', 'easy', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's fast , it 's easy easy easy to set up , easy to hook to my wireless network ."], "output": "['hook', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I previously purchased a 13 '' macbook ( had pro specs and was aluminum style ) which had a nvidia 9800 ( If I am not mistaken ) and it had major heating issues ."], "output": "['nvidia', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I take it everywhere with me because it 's so easy to carry ."], "output": "['carry', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh and it has word and stuff but its a trial verion so after about a month or so when you go to open it it asks for a product key which didnt come with the computer and even after clicking cancel it wont let you use it at all I use the old word processer which works good ."], "output": "['word', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard has a wonderful nature feel ."], "output": "['keyboard', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery does n't last long but I 'm sure an upgrade battery would solve that problem ."], "output": "['battery', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was looking too closely at the other performance specs and while comparing , I took it for granted that these features were standard ."], "output": "['features', ['standard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought this last week , and the very next day had to return it because it over heated and the touch-mouse stopped responding ."], "output": "['touch-mouse', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh yea , has no numeric pad on the side ."], "output": "['numeric', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cover for the DVD drive soon came off , too -- a mark of poor construction quality ."], "output": "['cover', ['came', 'poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cover for the DVD drive soon came off , too -- a mark of poor construction quality ."], "output": "['construction', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the arm velcro is torn after one use ."], "output": "['arm', ['torn']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The software is amazing ."], "output": "['software', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We carry the netbook around here and there , hence it 's kinda of irritating when the LCD just `` slide '' downwards ."], "output": "['LCD', ['irritating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 2 GB of RAM is plenty , able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown ."], "output": "['2', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 2 GB of RAM is plenty , able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown ."], "output": "['Windows', ['able']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 2 GB of RAM is plenty , able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown ."], "output": "['programs', ['able']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life is amazing , the versitility is outstanding ."], "output": "['battery', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life is amazing , the versitility is outstanding ."], "output": "['versitility', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Vista is a nightmare ."], "output": "['Vista', ['nightmare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The program came with the computer and works beautifully ."], "output": "['program', ['beautifully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was loving this Netbook because it had an amazing screen and display and was small and light , but after 1 week it stopped openning web pages for me ( even after installing new browsers ) then eventually it just started giving me a blue screen and crashing everytime I booted it ."], "output": "['screen', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was loving this Netbook because it had an amazing screen and display and was small and light , but after 1 week it stopped openning web pages for me ( even after installing new browsers ) then eventually it just started giving me a blue screen and crashing everytime I booted it ."], "output": "['display', ['small', 'light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was loving this Netbook because it had an amazing screen and display and was small and light , but after 1 week it stopped openning web pages for me ( even after installing new browsers ) then eventually it just started giving me a blue screen and crashing everytime I booted it ."], "output": "['browsers', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The So called laptop Runs to Slow and I hate it !"], "output": "['Runs', ['Slow', 'hate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Charger seems large for this class of computer ."], "output": "['Charger', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dislike the quality and the placement of the speakers ."], "output": "['speakers', ['dislike']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen graphics and clarity , and sharpness are great ."], "output": "['screen', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen graphics and clarity , and sharpness are great ."], "output": "['clarity', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen graphics and clarity , and sharpness are great ."], "output": "['sharpness', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So I called customer support ( which is good too ) and they went through it and it is just a safety feature and it does not affect performance at all , I just chose to hide the message ."], "output": "['customer', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So I called customer support ( which is good too ) and they went through it and it is just a safety feature and it does not affect performance at all , I just chose to hide the message ."], "output": "['performance', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The unibody design is edgy and durable ."], "output": "['unibody', ['edgy', 'durable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["STOPPED BOOTING UP less than a week after my one-year warranty was up ."], "output": "['BOOTING', ['STOPPED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["STOPPED BOOTING UP less than a week after my one-year warranty was up ."], "output": "['one-year', ['up']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But , for the cost this is a winner ."], "output": "['cost', ['winner']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , the battery does not last very long at all ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought it from HSN because it was `` bundled '' with extra software , but as it turns out , that software just crashes it more often ... .."], "output": "['software', ['crashes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I constantly had to send my laptop in for services every 3 months and it always seems to be the same problem that they said they had already fixed ."], "output": "['services', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Strong performance in this device makes use of fun and a strong sense of the era of speed This device serves all modern requirements is a very strong game and is very useful for designers ."], "output": "['performance', ['strong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was sorely disapointed to discover that HP ( what I thought was a reputable company ) would n't honor the warrenty when the fan blade fell apart ."], "output": "['warrenty', ['sorely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was sorely disapointed to discover that HP ( what I thought was a reputable company ) would n't honor the warrenty when the fan blade fell apart ."], "output": "['fan', ['fell']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["More times that not the screen pops up saying I have a bad internet connection , or the page ca n't be displayed ."], "output": "['internet', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While most people say that PCs hold functionality and value and Macs are just pretty to look at , I think there 's something to be said about the simplicity of Macs ."], "output": "['look', ['pretty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My macbook is so much better looking and so thin !"], "output": "['looking', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ease of use is wonderful ."], "output": "['use', ['ease', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery gets so HOT it is scary ."], "output": "['battery', ['HOT', 'scary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best thing is I can use existing 32 bit old programs ."], "output": "['programs', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so nice to look at and the keys are easy to type with ."], "output": "['keys', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's so nice to look at and the keys are easy to type with ."], "output": "['look', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I would change about it is the mouse keys ."], "output": "['mouse', ['change']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is absolutely horrible to use , despite all its so called advanced features ."], "output": "['features', ['advanced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is absolutely horrible to use , despite all its so called advanced features ."], "output": "['use', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to keep turning it until it decides to lower and there is no mute ."], "output": "['mute', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's still beautiful and has better color reproduction than I could ever expect from a notebook ."], "output": "['color', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After that I turned to email in my next vain help to get them to acknowledge that the warranty was still valid ."], "output": "['warranty', ['valid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He loves it and it is easy to use and well the schools start teaching the kids early about computers so it was easy for him to get started ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , macbooks come with much more features which are so cool !"], "output": "['features', ['more', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have developed excellent proprietary software for editing video and pictures and I 'm looking forward to utilizing these tools on the regular ."], "output": "['proprietary', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Getting the Apple Care plan is a must ."], "output": "['Apple', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["overall i would recomend this to anybody and tell them that if they want to burn their music or play there video games to buy the cd drive ."], "output": "['cd', ['recomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['processor', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['memory', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['hard', ['bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['web', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['screen', ['nicer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dv4 boasted a faster processor , more memory , and a bigger hard drive than my old computer , plus a better quality web cam , nicer screen , and many other features ."], "output": "['features', ['many']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only downfall is the battery only last 1.5-2.0 hrs when not plugged in ."], "output": "['battery', ['downfall']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics on this computer are also stellar - very clear and vivid ."], "output": "['graphics', ['stellar', 'clear', 'vivid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the trial software and the short battery life , lack of a webcam , its great ."], "output": "['battery', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the trial software and the short battery life , lack of a webcam , its great ."], "output": "['webcam', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Graphics are clean and sharp , internet interfaces are seamless ."], "output": "['Graphics', ['clean', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Graphics are clean and sharp , internet interfaces are seamless ."], "output": "['internet', ['seamless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The newer black keyboard took a little bit away from the previous gray one which looked really slick , but it is still a great notebook !"], "output": "['black', ['newer', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sony parts reliability and quality of service is recenlty the worst ."], "output": "['service', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As with any laptop not purchased with software options , it comes with a lot of what I consider useless applications ."], "output": "['applications', ['useless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its Office compatible , but the features and its functioning is all new again so you might as well save the money and just learn the pre installed mac programs ."], "output": "['features', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its Office compatible , but the features and its functioning is all new again so you might as well save the money and just learn the pre installed mac programs ."], "output": "['functioning', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its Office compatible , but the features and its functioning is all new again so you might as well save the money and just learn the pre installed mac programs ."], "output": "['Office', ['compatible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It just works flawlessly !"], "output": "['works', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm having the laptop returned unrepaired since paying $ 176 every 3 months just is n't worth it ( that 's about how long the port seems to last ) ."], "output": "['port', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also the battery is completely shot ."], "output": "['battery', ['completely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["/ awesome cooling system / much better grafics card ( ATI 5870 ) / 8GB RAM / LED backlit screen ..."], "output": "['cooling', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["/ awesome cooling system / much better grafics card ( ATI 5870 ) / 8GB RAM / LED backlit screen ..."], "output": "['grafics', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["/ awesome cooling system / much better grafics card ( ATI 5870 ) / 8GB RAM / LED backlit screen ..."], "output": "['LED', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["/ awesome cooling system / much better grafics card ( ATI 5870 ) / 8GB RAM / LED backlit screen ..."], "output": "['8GB', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The biggest problem is that the box had no instructions in it ."], "output": "['instructions', ['problem', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But after using it a couple of weeks , the overall operation is poor ."], "output": "['operation', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Compared to similarly spec 'd PCs , this machine is good value , well built and works easily right out of the box ."], "output": "['value', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Compared to similarly spec 'd PCs , this machine is good value , well built and works easily right out of the box ."], "output": "['built', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Compared to similarly spec 'd PCs , this machine is good value , well built and works easily right out of the box ."], "output": "['works', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is crystal clear and the system is very responsive ."], "output": "['Screen', ['crystal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is crystal clear and the system is very responsive ."], "output": "['system', ['responsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops ."], "output": "['software', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops ."], "output": "['operate', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops ."], "output": "['gadgets', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it might be something deep within Windows , for I was unable to create a disk image on my hard drive ."], "output": "['Windows', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it might be something deep within Windows , for I was unable to create a disk image on my hard drive ."], "output": "['hard', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it might be something deep within Windows , for I was unable to create a disk image on my hard drive ."], "output": "['disk', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The track pad to me is what really stands out though , you can do several different things with it just depending on how many fingers you use on the track pad , awesome thinking Apple !"], "output": "['track', ['stands']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now I had not tried to use this since the disc drive had been replaced and after taking it back to the Geek Squad I found out they had accidently not used the right drive when they replaced the first one , so back it went to get the correct drive ."], "output": "['disc', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First , you ll discover that the word processing program known as Appleworks rarely translates perfectly on anyone else s computer , if it translates at all ."], "output": "['Appleworks', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First , you ll discover that the word processing program known as Appleworks rarely translates perfectly on anyone else s computer , if it translates at all ."], "output": "['word', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I already have a HP laptop I bought last year that 's standard size ."], "output": "['size', ['standard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Battery is not upgradable to a longer life battery ."], "output": "['Battery', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["apple has a reputation and is well known for its easy usage ."], "output": "['usage', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Returned laptop for a 3rd repair and it came back with previous problems fixed ( except for speaker grill ) but the unit started locking up during use and eventually would not operate at all ."], "output": "['speaker', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I just plug this into my 22 '' Monitor and the speedy MacOSX performs just as well on this dual-core that my Dell did with Windows 7 with a quad-core ."], "output": "['MacOSX', ['speedy', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the graphics , awesome programs ( including Garageband ) , and really cool default background ."], "output": "['graphics', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the graphics , awesome programs ( including Garageband ) , and really cool default background ."], "output": "['programs', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the graphics , awesome programs ( including Garageband ) , and really cool default background ."], "output": "['Garageband', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the graphics , awesome programs ( including Garageband ) , and really cool default background ."], "output": "['default', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen , keyboard , and mouse : If you cant see yourself spending the extra money to jump up to a Mac the beautiful screen , responsive island backlit keyboard , and fun multi-touch mouse is worth the extra money to me alone ."], "output": "['screen', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen , keyboard , and mouse : If you cant see yourself spending the extra money to jump up to a Mac the beautiful screen , responsive island backlit keyboard , and fun multi-touch mouse is worth the extra money to me alone ."], "output": "['island', ['responsive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen , keyboard , and mouse : If you cant see yourself spending the extra money to jump up to a Mac the beautiful screen , responsive island backlit keyboard , and fun multi-touch mouse is worth the extra money to me alone ."], "output": "['multi-touch', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The MacBook is way too overpriced for something so simple and chaotic ."], "output": "['overpriced', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The OS takes some getting used to especially after being a Windows user for so long but the learning curve is so worth it !"], "output": "['OS', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , I experienced a huge change in that my mac runs pretty fast compared to my old PC ."], "output": "['runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I got the computer back and realizwed it still was not correct HP told me it was out of warranty and now it was my problem ."], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It also came with a built it web cam which is great because I can see an communicate with my family members back home ."], "output": "['built', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good monitor and performed well ."], "output": "['monitor', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good monitor and performed well ."], "output": "['performed', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was secure and easy to navigate ."], "output": "['navigate', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was a little weary at purchasing another 13 '' macbook almost 2 years later but t looks like the newer macbooks have gotten its current line of graphics cards in order this time around ."], "output": "['graphics', ['in']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are by far the easiest systems to actually learn about computers with ."], "output": "['systems', ['easiest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The video card is great for media , and above average for gaming , but not a gamers first choice ."], "output": "['video', ['great', 'above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The video card is great for media , and above average for gaming , but not a gamers first choice ."], "output": "['gaming', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The video card is great for media , and above average for gaming , but not a gamers first choice ."], "output": "['media', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently there is a manufacturing defect , something with the amount of thermal paste ."], "output": "['thermal', ['defect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Asus facial recognition does n't work and windows logon is n't either ."], "output": "['facial', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Asus facial recognition does n't work and windows logon is n't either ."], "output": "['windows', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Windows Vista makes this computer almost unusable for online service ."], "output": "['Windows', ['unusable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Windows Vista makes this computer almost unusable for online service ."], "output": "['online', ['unusable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I contacted Acer and they are giving me FREE recovery DVDs , so do n't go and pay for them , just ask for them and they should give them to you ."], "output": "['recovery', ['FREE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now when I order I did not go full scale for the webcam or full keyboard I wanted something for basics of being easy to carry when I use crutchs or wheelchair and with a backpack laptop bag ."], "output": "['carry', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Can listen to my music and watch my videos with ease and with a great display ."], "output": "['display', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The performance is awesome ."], "output": "['performance', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The display is beyond horrible ."], "output": "['display', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is hardly any memory on the computer 's hard drive ."], "output": "['memory', ['hardly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the laptop preformed pretty well ."], "output": "['preformed', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The minute you fire it up it 's all good , very easy user interface ."], "output": "['user', ['good', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I actually contact Toshiba before I started having problem and was given run around after I supplied serial number in order to delay me sending in laptop until after warrenty expired ."], "output": "['warrenty', ['expired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After replacing the hard drive the battery stopped working ( 3 months of use ) which was frustrating ."], "output": "['battery', ['stopped', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the easy to see screen , and It works well for work , persoal or just play ."], "output": "['screen', ['love', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the easy to see screen , and It works well for work , persoal or just play ."], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse pad and buttons are the worst i 've ever seen ."], "output": "['mouse', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse pad and buttons are the worst i 've ever seen ."], "output": "['buttons', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awesome graphics !"], "output": "['graphics', ['Awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It really is perfect for work and play ."], "output": "['play', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It really is perfect for work and play ."], "output": "['work', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pro is a great product , I wish that the 13 inch models came with the Intel i processors and had a more comfortable edge ( the edges hurt my wrists ) ."], "output": "['edge', ['comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One drawback I noticed was sound quality via USB ."], "output": "['sound', ['drawback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life sucked the juice from my laptop and when the extended life battery went out we were SOL there to , so much for that warranty covering all the products we purchased ."], "output": "['battery', ['sucked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have had another Mac , but it got slow due to an older operating system ."], "output": "['operating', ['slow', 'older']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I'ts nice to have the higher-end laptops , but this fits my budget and the features I need ."], "output": "['features', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Was disappointed to find out that the model had been discontinued , apparently because of known motherboard problems ."], "output": "['motherboard', ['disappointed', 'problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , I started using Google Chrome , which is a little better , but it freezes too sometimes ."], "output": "['Google', ['better', 'freezes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also the speakers are not very loud , But it is a netbook ."], "output": "['speakers', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["LOVE THIS LAPTOP WONDERFUL PRICE FOR WHAT YOU GET !"], "output": "['PRICE', ['LOVE', 'WONDERFUL']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A key contributor that led me to Mac is the art aspect ."], "output": "['art', ['contributor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Eventually my battery would n't charge , so unless I had it plugged in it would n't even power on ."], "output": "['battery', ['would']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My first problem was with the pre-loaded Norton Firewall/Security program ."], "output": "['pre-loaded', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a USB connect but , i ca n't use it because it is not compatible ."], "output": "['USB', ['ca', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Accordingly , I have decided to NEVER purchase another HP product ( my five year old Compaq ) lasted 5-years before the hard drive crashed ."], "output": "['hard', ['crashed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I know that everyone thinks Macs are overpriced and overrated , but once you get past the initial expense you 'll find that they 're worth every penny ( besides , there 's always the financing plan that Best Buy offers ) ."], "output": "['expense', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the multi-touch trackpad ."], "output": "['multi-touch', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["HP is more interested in selling extended warranties ( which cost more than the netbook new ) then they are in helping or fixing ."], "output": "['extended', ['cost']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["HP is more interested in selling extended warranties ( which cost more than the netbook new ) then they are in helping or fixing ."], "output": "['cost', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not too much `` junk '' software to remove ."], "output": "['software', ['junk']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["System is loosing about 20 % of performance because of that ."], "output": "['performance', ['loosing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["System is loosing about 20 % of performance because of that ."], "output": "['System', ['loosing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , good quality and good price ."], "output": "['quality', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , good quality and good price ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , good quality and good price ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference in the Apple keyboard from a PC 's keyboard took a bit of tim to get used to , but overall it 's worth it !"], "output": "['Apple', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference in the Apple keyboard from a PC 's keyboard took a bit of tim to get used to , but overall it 's worth it !"], "output": "['PC', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only issue is that it is a little slow , and I 'm fixing that by adding more RAM ."], "output": "['RAM', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hard drive crashed as well , and I had to buy a new power cord ."], "output": "['hard', ['crashed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another issue I have with it is the battery ."], "output": "['battery', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After 2 months of complaints , Asus finally sent the right power supply to my techies ."], "output": "['power', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That included the extra Sony Sonic Stage software , the speakers and the subwoofer I got ( that WAS worth the money ) , the bluetooth mouse for my supposedly bluetooth enabled computer , the extended life battery and the Docking port ."], "output": "['Sony', ['extra']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That included the extra Sony Sonic Stage software , the speakers and the subwoofer I got ( that WAS worth the money ) , the bluetooth mouse for my supposedly bluetooth enabled computer , the extended life battery and the Docking port ."], "output": "['speakers', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That included the extra Sony Sonic Stage software , the speakers and the subwoofer I got ( that WAS worth the money ) , the bluetooth mouse for my supposedly bluetooth enabled computer , the extended life battery and the Docking port ."], "output": "['subwoofer', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My MacBook Pro works like a dream , it has never overheated , or even been slightly warm for that matter ."], "output": "['works', ['dream', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I get a ton of compliments on its size , and speaking as someone who regularly commutes on a bus , I can attest to the fact that this is the perfect size computer if you 're restricted to the width of your body for computing room ."], "output": "['size', ['compliments']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I get a ton of compliments on its size , and speaking as someone who regularly commutes on a bus , I can attest to the fact that this is the perfect size computer if you 're restricted to the width of your body for computing room ."], "output": "['size', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Easy to carry , can be taken anywhere , can be hooked up to printers , headsets ."], "output": "['carry', ['Easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also the keyboard does not liht up so unless your sitting in a room with some light you cant see anything and thats bad for me because my boyfriend tends to watch tv in the dark at night which leaves me with no way of seeing the keyboard ."], "output": "['keyboard', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I got my laptop back after this first instance it worked okay for a little bit then I started expeirencing issues again , everything from programs and drivers failing again , to it powering off for no reason , to locking up and freezing and just all sorts of issues ."], "output": "['programs', ['issues', 'failing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I got my laptop back after this first instance it worked okay for a little bit then I started expeirencing issues again , everything from programs and drivers failing again , to it powering off for no reason , to locking up and freezing and just all sorts of issues ."], "output": "['drivers', ['issues', 'failing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love that it does n't take up space like a regular computer ."], "output": "['space', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , I took it back to the apple store and they narcissist genius bar staff ) fixed it by resetting the fan at boot up ."], "output": "['fan', ['fixed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just keep in mind the graphics is not dedicated so loading the movie almost took a minute , but it ran fairly smooth for a non-dedicated graphics card ."], "output": "['graphics', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just keep in mind the graphics is not dedicated so loading the movie almost took a minute , but it ran fairly smooth for a non-dedicated graphics card ."], "output": "['non-dedicated', ['smooth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I agree with the previous comment that ASUS TECH SUPPORT IS HORRIBLE WHICH IS A CON IN MY OPINION ."], "output": "['ASUS', ['HORRIBLE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse on the pad , the left button always sticks ."], "output": "['mouse', ['sticks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse on the pad , the left button always sticks ."], "output": "['left', ['sticks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend this computer to anyone searching for the perfect laptop , and the battery life is amazing ."], "output": "['battery', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We use the built in tools often , iTunes is open nearly every day and works great with my iPhone ."], "output": "['built', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We use the built in tools often , iTunes is open nearly every day and works great with my iPhone ."], "output": "['iTunes', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the size of has actually help me out quite a bit by me being able to fit it in an already full backpack and to use it at a resturant where the food on the table is always so space consuming ."], "output": "['size', ['able']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["True quality at a great price !"], "output": "['quality', ['True']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["True quality at a great price !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not easy to carry ."], "output": "['carry', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The programs that come standard with the Leopard running system are enough for the average person to run all the basics ."], "output": "['programs', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So what am I supposed to do ? The LG service center can not provide me the `` service '' when it is called the `` service center '' ."], "output": "['service', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Material this Pro is made out of seems a lot nicer than any PC Specs : Like I said this performs a lot better than any computer I 've had in the past ."], "output": "['Material', ['nicer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After doing extensive research , macconnection had the lowest price on the 15 '' MBP i5 ."], "output": "['price', ['lowest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am ADDICTED to photo booth !"], "output": "['photo', ['ADDICTED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The operating system and user interface is very intuitive , and the large multi-touch track pad is amazing ."], "output": "['operating', ['intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The operating system and user interface is very intuitive , and the large multi-touch track pad is amazing ."], "output": "['user', ['intuitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The operating system and user interface is very intuitive , and the large multi-touch track pad is amazing ."], "output": "['multi-touch', ['large', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Hard disk - The new editions gives you more hard disk space ( 500GB instead of 320GB ) but time has taught me never to trust an internal hard disk ."], "output": "['hard', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Hard disk - The new editions gives you more hard disk space ( 500GB instead of 320GB ) but time has taught me never to trust an internal hard disk ."], "output": "['internal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is extremely portable and easily connects to WIFI at the library and elsewhere ."], "output": "['connects', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First things first , Macbook pro has many applications to make life easier , unlike the windows computers ."], "output": "['applications', ['many', 'easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the screen on this thing is absolutely amazing for high quality videos and movies and gaming ."], "output": "['screen', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the screen on this thing is absolutely amazing for high quality videos and movies and gaming ."], "output": "['gaming', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I considered I may have too much on the computer , but after looking , there was plenty of space and that is not the issue ."], "output": "['space', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do n't use my laptop in a way though that needs a long battery life so it 's perfect for me ."], "output": "['battery', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Summary : I 've had this laptop for 2 months , out of the blue the power adapter stops working ."], "output": "['power', ['stops']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , for a student , weight is always an issue ."], "output": "['weight', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now mainboard is broken , have to wait for a new one ."], "output": "['mainboard', ['broken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The speed difference is next to NOTHING for a mac , and the hard drive can be manually upgraded or you could just buy a $ 60 500gb external hard drive ."], "output": "['speed', ['NOTHING']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["2.The wireless card is low quality ."], "output": "['wireless', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was n't really as concerned about portability ( it 's a very large laptop ) but it 's not hard to move around or take on a trip which was a pleasant surprise ."], "output": "['portability', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people are frustrating to work with , the product itself is very cheaply made , and the accessories are less than satisfactory ."], "output": "['accessories', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They offer the best warranty in the business , and do n't 3rd party it out like Toshiba ."], "output": "['warranty', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only problems are the sound isnt very loud I have to wear headphones ."], "output": "['sound', ['isnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["everything about a mac is wonderful , it takes a little used to learning and getting used to the new system , but you will learn fast and its all worth it ."], "output": "['system', ['new', 'learn', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i love the size of the computer since i play games on it ."], "output": "['size', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You know , using the computer should be fun , not aggrevation , especially when you are playing games or working with photos ."], "output": "['playing', ['fun', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There are no viruses or spyware to worry about like on a Windows computer ."], "output": "['Windows', ['worry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be honest i think it was faulty equipment or something but idk ."], "output": "['equipment', ['faulty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also love the small , convenient size of my laptop , making it a perfect tool for my academic studies ."], "output": "['size', ['small', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love its solid build , light wt and excellent battery life ( for now ) ."], "output": "['build', ['love', 'solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love its solid build , light wt and excellent battery life ( for now ) ."], "output": "['wt', ['love', 'light']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love its solid build , light wt and excellent battery life ( for now ) ."], "output": "['battery', ['love', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["while about 8 years ago , I hope that the quality has changed ."], "output": "['quality', ['hope', 'changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference is it 's a whole lot of fun using the laptop now , still learning the Apple navigation , but is fun and comes with a lot of cool apps ."], "output": "['Apple', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference is it 's a whole lot of fun using the laptop now , still learning the Apple navigation , but is fun and comes with a lot of cool apps ."], "output": "['apps', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery holds up well , it 's built very solidly , and runs fast ."], "output": "['battery', ['holds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery holds up well , it 's built very solidly , and runs fast ."], "output": "['built', ['solidly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery holds up well , it 's built very solidly , and runs fast ."], "output": "['runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sound card is limited though ."], "output": "['Sound', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nicely sized laptop with lots of processing power and long battery life ."], "output": "['processing', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nicely sized laptop with lots of processing power and long battery life ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nicely sized laptop with lots of processing power and long battery life ."], "output": "['sized', ['nicely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard , which generally felt okay even for someone used to a desktop keyboard , now looks terrible ."], "output": "['keyboard', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The display is awesome ."], "output": "['display', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mouse is a little bit different than what you 're used to though- it has one big flat panel and one full bar ( instead of two separate ones ) to click with- but you get used to it quite quickly ."], "output": "['mouse', ['different', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["-Computer crashed frequently and battery life decreased very quickly ."], "output": "['battery', ['decreased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["-I propose that they can just swap the hard drives ."], "output": "['hard', ['swap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's also fairly easy to use the Operating System ."], "output": "['Operating', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So having the AC plug go out on me and get lose or I could actually here it inside my computer on two of the three times is not good ."], "output": "['AC', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Peformance is good for the price ."], "output": "['Peformance', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Peformance is good for the price ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Summary : HP knew they were shipping out bad BIOS and did nothing proactive to resolve it ."], "output": "['BIOS', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had 3 months when the ports started going out ."], "output": "['ports', ['going']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The improvements to the OS have been relatively gradual , but substantive ."], "output": "['OS', ['improvements', 'relatively', 'substantive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is super easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Many of my classmates computers hard drives crashed ."], "output": "['hard', ['crashed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ease of use is just one of the benefits I love about my Mac ."], "output": "['use', ['Ease', 'benefits', 'love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['shipping', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['price', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['budget', ['fits']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sheer power and flexibility makes the MacBook Pro a must have for any techie !"], "output": "['power', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sheer power and flexibility makes the MacBook Pro a must have for any techie !"], "output": "['flexibility', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV ."], "output": "['HDMI', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV ."], "output": "['S-video', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The speakers on it are useless too ."], "output": "['speakers', ['useless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Battery is lasting about 6 hours as I am surfing the web on Sundays while checking football scores and watching funny Youtube videos ."], "output": "['Battery', ['lasting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Iphoto is great for adding pictures right to facebook and other social networking sites ."], "output": "['Iphoto', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In early May I got it back and this time I only had it back for 1 day before it had a NEW issue so it was sent back in for the 6th time they `` expedited '' the repairs so I was only supposed to have to be without it for 3 days and it was supposed to be fixed , by a `` Senior Tech '' ."], "output": "['Senior', ['supposed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Some features arent friendly ( volume wheel , sound quality , etc ."], "output": "['volume', ['arent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Some features arent friendly ( volume wheel , sound quality , etc ."], "output": "['sound', ['arent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Some features arent friendly ( volume wheel , sound quality , etc ."], "output": "['features', ['arent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cheaper price should not equal a `` cheap '' product ."], "output": "['price', ['cheaper']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Adjust the sensitivity since it 's not that responsive to begin with ."], "output": "['sensitivity', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After a couple of years , my battery life began to diminish but was replaced for free due to a company-wide recall of my particular battery ."], "output": "['battery', ['diminish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After a couple of years , my battery life began to diminish but was replaced for free due to a company-wide recall of my particular battery ."], "output": "['battery', ['particular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The system constantly overheats , the battery life is too short , the case is coming apart , and my core applications that I use every day in my work as a graphic artist run poorly ."], "output": "['battery', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The system constantly overheats , the battery life is too short , the case is coming apart , and my core applications that I use every day in my work as a graphic artist run poorly ."], "output": "['case', ['coming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The system constantly overheats , the battery life is too short , the case is coming apart , and my core applications that I use every day in my work as a graphic artist run poorly ."], "output": "['core', ['poorly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The system constantly overheats , the battery life is too short , the case is coming apart , and my core applications that I use every day in my work as a graphic artist run poorly ."], "output": "['system', ['overheats']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The company sent me a whole new cord overnight and apologized ."], "output": "['cord', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's even easy to hook up to other wireless networks ."], "output": "['hook', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , I have had a lot of trouble with the shift key to go to other lines ."], "output": "['shift', ['trouble']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rep did not even answer my question , I had to ask him , if he understood what I ask or if he spoke english because he did n't even try to acknowledge my question ."], "output": "['rep', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["iLife is easily compatible with Microsoft Office so you can send and receive files from a PC ."], "output": "['iLife', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Again I sent it back and they replaced the motherboard and some fan inside ."], "output": "['motherboard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Again I sent it back and they replaced the motherboard and some fan inside ."], "output": "['fan', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fully charged , the MacBook Pro can last about five hours unplugged ."], "output": "['charged', ['Fully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though it is much more expensive than many PC laptops , it is worth the price ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For me , keys were starting to get stuck and would n't type very well ."], "output": "['keys', ['stuck', 'would']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["ca n't reinstall with standard os cd because of proprietary hardware drivers ."], "output": "['standard', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer was two weeks late in delivery because HP forgot to complete the required import paperwork ."], "output": "['delivery', ['late']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been very pleased with the performance of this laptop ."], "output": "['performance', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought it for my mom and she reports that the battery life lasts all day for her , it 's very lightweight , and the response for the computing she 's doing ( Internet focused activity : mail , research , etc . ) is excellent ;"], "output": "['battery', ['lasts']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought it for my mom and she reports that the battery life lasts all day for her , it 's very lightweight , and the response for the computing she 's doing ( Internet focused activity : mail , research , etc . ) is excellent ;"], "output": "['response', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I bought it for my mom and she reports that the battery life lasts all day for her , it 's very lightweight , and the response for the computing she 's doing ( Internet focused activity : mail , research , etc . ) is excellent ;"], "output": "['Internet', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its very nice and once you learn the features you will be so happy to have such a sophisticated computer ."], "output": "['features', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is sleek and lightweight and charges quickly when needed ."], "output": "['charges', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also you may need to charge it once a day , if for medium use every thing fast and easy with mac the size and look is the most feature that attracted me to it ."], "output": "['size', ['attracted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also you may need to charge it once a day , if for medium use every thing fast and easy with mac the size and look is the most feature that attracted me to it ."], "output": "['look', ['attracted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also you may need to charge it once a day , if for medium use every thing fast and easy with mac the size and look is the most feature that attracted me to it ."], "output": "['feature', ['attracted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did think it had a camera because that was one of my requirements , but forgot to check in the specifications on this one before I purchased ."], "output": "['specifications', ['check']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also the display is exceptional !"], "output": "['display', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["little short on RAM but you get what you pay for ."], "output": "['RAM', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It did n't come with any software installed outside of windows media , but for the price , I was very pleased with the condition and the overall product ."], "output": "['software', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It did n't come with any software installed outside of windows media , but for the price , I was very pleased with the condition and the overall product ."], "output": "['price', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THEN , one month after the warranty expired , the replacement charger went ."], "output": "['warranty', ['expired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love a `` pc '' but I was ready for a change and tired of the windows system ."], "output": "['windows', ['tired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Your cursor will end up all over the freaking place , , , it 's not uncommon for me to accidentally delete words , sentences , paragraphs because of this mousepad ."], "output": "['cursor', ['end', 'freaking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other installed features , such as certain printer software , are also most attractive ."], "output": "['features', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other installed features , such as certain printer software , are also most attractive ."], "output": "['printer', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It had a seventeen inch screen which I wanted , but I did n't realize at the time it would be such a monster !"], "output": "['seventeen', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even doing so , the hinge may just be slightly tightened only ."], "output": "['hinge', ['tightened']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["company provides UPS shipping , fast , great !"], "output": "['shipping', ['fast', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then I 've fixed the DC jack ( inside the unit ) , rewired the DC jack to the OUTside of the laptop , replaced the power brick ."], "output": "['DC', ['fixed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then I 've fixed the DC jack ( inside the unit ) , rewired the DC jack to the OUTside of the laptop , replaced the power brick ."], "output": "['DC', ['rewired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then I 've fixed the DC jack ( inside the unit ) , rewired the DC jack to the OUTside of the laptop , replaced the power brick ."], "output": "['power', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , has great screen quality , and every so light weight ."], "output": "['screen', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , has great screen quality , and every so light weight ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great product , very easy to use and great graphics ."], "output": "['graphics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great product , very easy to use and great graphics ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The iLife software that comes with the computer is so simple to use and produces a great finished product ."], "output": "['iLife', ['simple', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The iLife software that comes with the computer is so simple to use and produces a great finished product ."], "output": "['use', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The built-in webcam is great for Skype and similar video-chat services ."], "output": "['built-in', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The shop will definitely push the problem to the service center ."], "output": "['service', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While I mostly use it for email , internet and gaming , I 'm confident all other applications live up to the high standard I 've come to appreciate from Mac laptops ."], "output": "['applications', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looks great on the surface : 17 '' inch screen , good price-point , nice appearance , boots up quickly , runs fast etc ."], "output": "['17', ['great', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looks great on the surface : 17 '' inch screen , good price-point , nice appearance , boots up quickly , runs fast etc ."], "output": "['price-point', ['great', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looks great on the surface : 17 '' inch screen , good price-point , nice appearance , boots up quickly , runs fast etc ."], "output": "['appearance', ['great', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looks great on the surface : 17 '' inch screen , good price-point , nice appearance , boots up quickly , runs fast etc ."], "output": "['boots', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looks great on the surface : 17 '' inch screen , good price-point , nice appearance , boots up quickly , runs fast etc ."], "output": "['runs', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The apple systems are over priced luxurys that ar n't worth what they are being charged for , this model 's specifications are far from being impressive and they only thing you get out of this is the apple name ."], "output": "['specifications', ['far']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The apple systems are over priced luxurys that ar n't worth what they are being charged for , this model 's specifications are far from being impressive and they only thing you get out of this is the apple name ."], "output": "['over', ['ar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["pros : the macbook pro notebook has a large battery life and you wont have to worry to charge your laptop every five hours or so ."], "output": "['battery', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Disappointing for such a lovely screen and at a reasonable price"], "output": "['screen', ['Disappointing', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Disappointing for such a lovely screen and at a reasonable price"], "output": "['price', ['Disappointing', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only bad thing about it is they give you the worst batteries possible ."], "output": "['batteries', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good price ."], "output": "['price', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THE MOTHERBOARD IS DEAD !"], "output": "['MOTHERBOARD', ['DEAD']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the speed is fine ."], "output": "['speed', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was not clear that the Microsoft Student Edition that was loaded on the computer , was a six month trial ."], "output": "['Microsoft', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good for every day computing and web browsing ."], "output": "['web', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good for every day computing and web browsing ."], "output": "['every', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While lacking some of the functions of the other versions , this was very acceptable for the uses planned for this computer ."], "output": "['functions', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , I have had a lot of trouble with the keys sticking and will not type correctly ."], "output": "['keys', ['trouble', 'sticking', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent LED monitor and well equipped ."], "output": "['LED', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This process continued to repeat itself until the mother board had been replaced 4 times and the hard drive replaced 3 times ."], "output": "['mother', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This process continued to repeat itself until the mother board had been replaced 4 times and the hard drive replaced 3 times ."], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Without a doubt , the * design * of this laptop is fantastic ."], "output": "['design', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I could n't believe how long the battery lasted on a single charge ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I could n't believe how long the battery lasted on a single charge ."], "output": "['charge', ['single']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I could save ten essay papers and have hardly any memory left ."], "output": "['memory', ['hardly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than that , I would recommend this to someone in need of a cheap laptop with semi-decent gaming capabilities ."], "output": "['gaming', ['semi-decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the biggest pain is that tech support is not available 24/7 ."], "output": "['tech', ['pain', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The backlit keys are wonderful when you are working in the dark ."], "output": "['backlit', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I chose the iBookG4 , a laptop that is an attractive computer with a large screen big enough to please anyone ."], "output": "['screen', ['attractive', 'large', 'big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The most recent being that my Safari internet browser is freaking out on me , but I have just been using firefox instead ."], "output": "['Safari', ['freaking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything about the Mac is not only visually appealing , but very easy to use ."], "output": "['use', ['appealing', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THE FIRST PROBLEM IS THAT THE KEYBOARD FUNCTION IS SIMPLY UNSATISFACTORY ."], "output": "['KEYBOARD', ['UNSATISFACTORY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The DVD drive randomly pops open when it is in my backpack as well , which is annoying ."], "output": "['DVD', ['randomly', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Garageband is more for the musicians , and the laptop is equipped with a good working microphone , good enough for beginners and musicians at the intermediate level ."], "output": "['Garageband', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Garageband is more for the musicians , and the laptop is equipped with a good working microphone , good enough for beginners and musicians at the intermediate level ."], "output": "['microphone', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly ."], "output": "['Linux', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly ."], "output": "['security-prone', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly ."], "output": "['performs', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference is the Toshiba had a lot more memory and hard drive space ."], "output": "['memory', ['a']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The difference is the Toshiba had a lot more memory and hard drive space ."], "output": "['hard', ['a']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a little difficulty doing the migration as the firewire cable system ca n't be used with the iBook ."], "output": "['firewire', ['difficulty', 'ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seems like maybe a bad shipment from Toshiba ."], "output": "['shipment', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["OS X is solid with lots of innovations such as quicklook which save heaps of time ."], "output": "['OS', ['solid', 'innovations']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["OS X is solid with lots of innovations such as quicklook which save heaps of time ."], "output": "['quicklook', ['save']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But other than that I am blown away by all the features this laptop offers ."], "output": "['features', ['blown']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The keyboard is slick and quiet and not bulky like some other laptops I have had in the past ."], "output": "['keyboard', ['slick', 'quiet', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , this laptop is definitely a keeper with its simple yet stylish design and its array of fantastic colors to choose from ."], "output": "['design', ['stylish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , this laptop is definitely a keeper with its simple yet stylish design and its array of fantastic colors to choose from ."], "output": "['colors', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First the screen goes completely out ."], "output": "['screen', ['completely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The PhotoBooth is a great program , it takes very good pictures with the built-in camera ."], "output": "['PhotoBooth', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The PhotoBooth is a great program , it takes very good pictures with the built-in camera ."], "output": "['program', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The PhotoBooth is a great program , it takes very good pictures with the built-in camera ."], "output": "['built-in', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Many kinds of software that is necessary to the working person is not available and can not be downloaded ."], "output": "['software', ['not', 'can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It bluescreened on me without any warning , running simply basic Chrome ."], "output": "['Chrome', ['basic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We researched and found the best price at MacConnection ."], "output": "['price', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But guess what ? ( you have to buy an external dvd drive it does n't have a built in type ) The notebook ca n't be used because it does n't read anything for an external drive ."], "output": "['external', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But guess what ? ( you have to buy an external dvd drive it does n't have a built in type ) The notebook ca n't be used because it does n't read anything for an external drive ."], "output": "['external', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING ! ! !"], "output": "['PROCESSING', ['FAST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I use a cooling pad but it does n't help ."], "output": "['cooling', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Supplied software : The software that comes with this machine is greatly welcomed compared to what Windows comes with ."], "output": "['Supplied', ['greatly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Supplied software : The software that comes with this machine is greatly welcomed compared to what Windows comes with ."], "output": "['software', ['greatly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm tired of the inept service ."], "output": "['service', ['tired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Garageband is easy to work with , like all the other apple applications I 've had experience with ."], "output": "['Garageband', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Garageband is easy to work with , like all the other apple applications I 've had experience with ."], "output": "['apple', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No , tey do n't even support their own bios and it `` could be a problem with the bios '' How can a company that makes a fairly decent product get away with such insanity ? ? ! !"], "output": "['bios', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No , tey do n't even support their own bios and it `` could be a problem with the bios '' How can a company that makes a fairly decent product get away with such insanity ? ? ! !"], "output": "['bios', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This laptop looked brand new and was shipped very quickly ."], "output": "['shipped', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Info : Windows failed to load because the kernal is missing , or corrupt ."], "output": "['Windows', ['failed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Info : Windows failed to load because the kernal is missing , or corrupt ."], "output": "['kernal', ['missing', 'corrupt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The display on this computer is the best I 've seen in a very long time , the battery life is very long and very convenient ."], "output": "['display', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The display on this computer is the best I 've seen in a very long time , the battery life is very long and very convenient ."], "output": "['battery', ['long', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the quality , in general was less than the worth of the cheap laptop ."], "output": "['quality', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In the first moth of owning this computer its hardrive failed which had to be replaced ."], "output": "['hardrive', ['failed', 'replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its also FUN to use !"], "output": "['use', ['FUN']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics and screen are stunning and although I was a PC person , I was able to understand how to use a mac fairly quickly ."], "output": "['graphics', ['stunning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics and screen are stunning and although I was a PC person , I was able to understand how to use a mac fairly quickly ."], "output": "['screen', ['stunning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["WIth the upgraded memory , the MacBook Pro never has an issue running many many applications at once !"], "output": "['upgraded', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Simple to use , and great graphics ."], "output": "['graphics', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Simple to use , and great graphics ."], "output": "['use', ['Simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The internet speed is spectacular ."], "output": "['internet', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They claim call center is still down ."], "output": "['call', ['down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mac also has many apps and programs that are quite cheap or free ."], "output": "['apps', ['cheap', 'free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mac also has many apps and programs that are quite cheap or free ."], "output": "['programs', ['cheap', 'free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband uses it mostly for games , email and music ."], "output": "['games', ['mostly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I just took the broken cords into the Apple store and they gave me new ones ."], "output": "['cords', ['broken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently under the screen there are 2 little screws and when the screen gets moved back and forth , they come loose ."], "output": "['screen', ['loose']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downfalls : sharp edges ."], "output": "['edges', ['Downfalls', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is gorgeous - yummy good ."], "output": "['screen', ['gorgeous', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had it four months when my disc drive refused to open ."], "output": "['disc', ['refused']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , after Apple replaced the hard drive I enjoyed another 4 months of my new computer , until it froze this morning -- completely ."], "output": "['hard', ['replaced', 'enjoyed', 'froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Once again , I was told it was the suspicious power supply problem ."], "output": "['power', ['suspicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook starts fast , does n't crash , has a fantastic display , is small and light ( I have the 13.3 '' model ) , and is n't always complaining about updates , lost connections , errors , blue screens , etc ."], "output": "['display', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Macbook starts fast , does n't crash , has a fantastic display , is small and light ( I have the 13.3 '' model ) , and is n't always complaining about updates , lost connections , errors , blue screens , etc ."], "output": "['starts', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unable to boot up this brand new laptop ."], "output": "['boot', ['Unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In addition , all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations ."], "output": "['Pages', ['easier', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In addition , all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations ."], "output": "['Keynotes', ['easier', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I actually had the hard drive replaced twice , the mother board once , the dvd drive twice , then they FINALLY agreed to replace it , ( ALL OF THIS IN LESS THAN 1 1/2 YEARS !"], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I actually had the hard drive replaced twice , the mother board once , the dvd drive twice , then they FINALLY agreed to replace it , ( ALL OF THIS IN LESS THAN 1 1/2 YEARS !"], "output": "['mother', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I actually had the hard drive replaced twice , the mother board once , the dvd drive twice , then they FINALLY agreed to replace it , ( ALL OF THIS IN LESS THAN 1 1/2 YEARS !"], "output": "['dvd', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The guy then said that if I insist on having the hinge tightened , they can do it for me but I have to accept the condition after the `` repair '' ."], "output": "['hinge', ['tightened']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the feel of the key board , as well as the trackpad ."], "output": "['key', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the feel of the key board , as well as the trackpad ."], "output": "['trackpad', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now I have the best of both worlds with all of the power and ease of the Mac !"], "output": "['power', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now I have the best of both worlds with all of the power and ease of the Mac !"], "output": "['ease', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ease of use is just one of the benefits I love about my Mac ."], "output": "['use', ['Ease', 'benefits', 'love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Now the machine wo n't connect and Toshiba says that they did replace the connection card in May but they only warranty the repair for 30 days and now I 'm out of warranty even though this has been a constant 5 month occurance since I bought the netbook ."], "output": "['connection', ['replace']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Browsing , also , was no problem for me when I used itunes ( which usually slows down my PC ) ."], "output": "['Browsing', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Again , decent comp for the price , and I was in need of one quickly as my other laptop died on me ."], "output": "['price', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["so in a brief summary i would have to say that i would not recommend dell vostro 1000 to anyone due to it being a down right awful setup so in my opinion you should steer clear of them if you want a decent laptop ."], "output": "['setup', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend just had to replace his entire motherboard , so did my wife , and it looks like I will have to as well ."], "output": "['motherboard', ['replace']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Toshiba customer services will indirectly deal with your problems by constantly tranferring you from one country to another , and I am not kidding you , I called different hours of the day and you 'll get someone else from another country trying to get you to tell them your life story all over again , since they make it sound like they do n't have your history list of your calls right in front of them ."], "output": "['Toshiba', ['indirectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality Display I was surprised with the performance and quality of this HP Laptop ."], "output": "['Quality', ['surprised']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality Display I was surprised with the performance and quality of this HP Laptop ."], "output": "['performance', ['surprised']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality Display I was surprised with the performance and quality of this HP Laptop ."], "output": "['quality', ['surprised']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life also does n't keep up with the claim but still I think macbook is much ahead from the rest of the pack ."], "output": "['battery', ['does', 'much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The internet capabilities are also very strong and picks up signals very easily ."], "output": "['internet', ['strong', 'easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its fast , has High definition quality in the videos ."], "output": "['High', ['High']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Speakers do n't get that loud , but good enough ."], "output": "['Speakers', ['do', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another Great thing is the Beast graphics ."], "output": "['Beast', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ease of set up was terrific ."], "output": "['set', ['ease', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything I have tried has worked and I never have to carry the wall charger cause the battery is so awesome ."], "output": "['battery', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen is crystal clear , yes it 's small - but it 's a netbook !"], "output": "['Screen', ['crystal', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Screen size is perfect for portable use in any environment ."], "output": "['Screen', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First , it does not have a push button to open the lid ."], "output": "['push', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I used to build my own desktops from the component parts , and recently my 7 year old Pentium 4 with HT 1 GB ram SATA desktop stopped working ( this was a rock star 7 years ago ) ."], "output": "['Pentium', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I used to build my own desktops from the component parts , and recently my 7 year old Pentium 4 with HT 1 GB ram SATA desktop stopped working ( this was a rock star 7 years ago ) ."], "output": "['1', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": [") And printing from either word processor is an adventure ."], "output": "['word', ['adventure']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After purchasing this thing , I find out that I need a special interface device to connect my camera , and that it can not be purchased at the store - only on line ."], "output": "['interface', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another included program that is laughable is the chess game ."], "output": "['included', ['laughable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , I thought the expese was a little much , but I now realize you get what you pay for ."], "output": "['expese', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It works great for general internet use , Microsoft Office apps , home bookkeeping , etc ."], "output": "['Microsoft', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It works great for general internet use , Microsoft Office apps , home bookkeeping , etc ."], "output": "['internet', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price was very good , and the product is top quality ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price was very good , and the product is top quality ."], "output": "['quality', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It played various games without problems and ran aero smoothly and flawlessly ."], "output": "['games', ['without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It played various games without problems and ran aero smoothly and flawlessly ."], "output": "['aero', ['smoothly', 'flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After replacing the hard drive the battery stopped working ( 3 months of use ) which was frustrating ."], "output": "['hard', ['replacing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After replacing the hard drive the battery stopped working ( 3 months of use ) which was frustrating ."], "output": "['battery', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen almost looked like a barcode when it froze ."], "output": "['screen', ['barcode', 'froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the get-go , the M6809 was unsteady in its operation ;"], "output": "['operation', ['unsteady']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its small enough where I can take it pretty much anywhere , but still has a big enough screen to get everything done ."], "output": "['screen', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It even has a great webcam , and Skype works very well ."], "output": "['webcam', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It even has a great webcam , and Skype works very well ."], "output": "['Skype', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the solid machined aluminum frame , and the keyboard is the best of any laptop I 've used ."], "output": "['machined', ['love', 'solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the solid machined aluminum frame , and the keyboard is the best of any laptop I 've used ."], "output": "['keyboard', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can even run a parallels type program easily and run any leftover PC software that you absolutely can not be without ."], "output": "['parallels', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer I used daily nice compact design ."], "output": "['design', ['nice', 'compact']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ATI graphics card is a huge plus , definitely a good value if you need to be able to run some slightly older games that a Intel built-in card would have trouble with , such as Half-Life 2 or even World of Warcraft ."], "output": "['ATI', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ATI graphics card is a huge plus , definitely a good value if you need to be able to run some slightly older games that a Intel built-in card would have trouble with , such as Half-Life 2 or even World of Warcraft ."], "output": "['Intel', ['trouble']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ATI graphics card is a huge plus , definitely a good value if you need to be able to run some slightly older games that a Intel built-in card would have trouble with , such as Half-Life 2 or even World of Warcraft ."], "output": "['games', ['older']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was hard to handle and operate at school ."], "output": "['handle', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was hard to handle and operate at school ."], "output": "['operate', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has easy to use features and all the speed and power I could ask for ."], "output": "['features', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has easy to use features and all the speed and power I could ask for ."], "output": "['speed', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has easy to use features and all the speed and power I could ask for ."], "output": "['power', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I preferred the fit and feel of the 13 inch ."], "output": "['13', ['preferred']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["power supply went bad after 2 weeks --"], "output": "['power', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen takes some getting use to , because it is smaller than the laptop ."], "output": "['screen', ['smaller']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I regret buying it before understanding how awful it is to use ."], "output": "['use', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The right speaker did not work ."], "output": "['right', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dealing with the support drone on the other end of the chat was sheer torture ."], "output": "['support', ['sheer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Final Cut Pro on this laptop is so fast and easy , and I can use this to seemlessly transfer all my work to my home computer , which is also a mac ."], "output": "['Final', ['fast', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The computer runs extremely slowly , whether opening Word or My Computer ."], "output": "['runs', ['slowly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Mac Snow Leopard O/S is extremely easy to use , although very different than Win XP , Visa or Win7 ."], "output": "['Mac', ['easy', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is nice and the images comes very clear , the keyboard and the fit just feels right ."], "output": "['screen', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is nice and the images comes very clear , the keyboard and the fit just feels right ."], "output": "['keyboard', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is nice and the images comes very clear , the keyboard and the fit just feels right ."], "output": "['fit', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["super fast processor and really nice graphics card ..."], "output": "['processor', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["super fast processor and really nice graphics card ..."], "output": "['graphics', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But sitting on a lap or on a desk in front of you it looks more than big enough ( this could be because Im used to my Lenovo 10 tablet now ) plus this is a great size if I want to unplug the external keyboard , mouse , and monitor to take it with me when I take photos and video ."], "output": "['size', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only objection I have is that after you buy it the windows 7 system is a starter and charges for the upgrade ."], "output": "['windows', ['objection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dislike the weight and size , cubersome ."], "output": "['weight', ['dislike', 'cubersome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I dislike the weight and size , cubersome ."], "output": "['size', ['dislike', 'cubersome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wheel that turns the volume up and down does n't work in real time ."], "output": "['wheel', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not be happier with the service or product ."], "output": "['service', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do transcription work on the side , and the flatline keyboard makes typing quick and easy as well ."], "output": "['flatline', ['quick', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Speakers does n't sound that great ."], "output": "['Speakers', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ."], "output": "['windows', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ."], "output": "['ergonomics', ['serious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ."], "output": "['connections', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The `` abuse '' is that I pushed the power plug in too hard ."], "output": "['power', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The resolution on the screen is almost pure HD ."], "output": "['resolution', ['pure']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure how I recommend it for quality gaming , as I have a desktop rig for that reason ."], "output": "['gaming', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great value , fast delivery -- Computer works as if brand new , no problems , very pleased"], "output": "['delivery', ['fast', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great value , fast delivery -- Computer works as if brand new , no problems , very pleased"], "output": "['value', ['Great', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Internet Explorer was very slow from the very beginning ."], "output": "['Internet', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The AC power port becomes loose over time"], "output": "['AC', ['loose']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a user of a PC , I will will admit that the macBook Pro has a better running system in which I found myself `` Getting the job done quicker ."], "output": "['running', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There are no gold key numbers too intall programs , you must use the serial numbers that it does not accept and then things are limited as far a working because they are only good for a short time ."], "output": "['programs', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and they replaced the awesome ergonomic small lightweight power supply with a power supply that weighed more than the machine itself ."], "output": "['power', ['lightweight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and they replaced the awesome ergonomic small lightweight power supply with a power supply that weighed more than the machine itself ."], "output": "['power', ['weighed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoy that Toshib force and durability unparalleled"], "output": "['force', ['Enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoy that Toshib force and durability unparalleled"], "output": "['durability', ['Enjoy', 'unparalleled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Which is great I am running Vista Business and scored a 5.X on the index I have never seen a windows machine have a total score in the 5 's ."], "output": "['Vista', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the size of the screen , although it is still lightweight and very easy to tote around ."], "output": "['size', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the size of the screen , although it is still lightweight and very easy to tote around ."], "output": "['tote', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["so the fact that the computer does not work on the 24 twenty fourth day is my fault ."], "output": "['work', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would definitely reccomend this if you are in the market for an ease to use , stylish , fun , awesome computer ."], "output": "['use', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the battery is irreplaceable ."], "output": "['battery', ['irreplaceable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never really been big on downloading anything so I was n't too worried about getting a virus , plus I thought I was protected by Norton ."], "output": "['Norton', ['protected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The internet was locekd and froze every time it was trying to be used , and the command prompt would not work at all ."], "output": "['internet', ['locekd', 'froze']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The internet was locekd and froze every time it was trying to be used , and the command prompt would not work at all ."], "output": "['command', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's software and speed enable it to do amazing things ."], "output": "['software', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's software and speed enable it to do amazing things ."], "output": "['speed', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Could not keep up with me and finally the hard drive went out ."], "output": "['hard', ['went']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am most impressed with the programming , including the iPhoto ."], "output": "['programming', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am most impressed with the programming , including the iPhoto ."], "output": "['iPhoto', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Speakers too small to be of any real use ."], "output": "['Speakers', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I upgraded it 's RAM to 2GB , I am very happy with it ."], "output": "['RAM', ['upgraded', 'happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They should have included more memory on their computers if they knew Vista would run slowly ."], "output": "['memory', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They should have included more memory on their computers if they knew Vista would run slowly ."], "output": "['Vista', ['slowly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Battery life could be better but overall for the price and Toshiba 's reputation for laptops it 's great !"], "output": "['Battery', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Battery life could be better but overall for the price and Toshiba 's reputation for laptops it 's great !"], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ."], "output": "['battery', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ."], "output": "['charge', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ."], "output": "['charge', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace ."], "output": "['hard', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Windows 7 Starter is , in my opinion , a great way to think about using your netbook : basics , basics , basics ."], "output": "['Windows', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The neat and organized icon list is a welcome change from cluttered and confusing desktop icons ."], "output": "['icon', ['neat', 'organized', 'welcome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The neat and organized icon list is a welcome change from cluttered and confusing desktop icons ."], "output": "['desktop', ['cluttered', 'confusing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ."], "output": "['price', ['winning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ."], "output": "['performance', ['winning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ."], "output": "['built', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ."], "output": "['look', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The apple care has never failed me , and I expect it to be the same for this computer as well ."], "output": "['apple', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Toshiba laptop I am using is easier to use than most I have tried ."], "output": "['use', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So we exchanged it for the same on and after 2 hours it did n't work ."], "output": "['work', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the size , keyboard , the functions ."], "output": "['size', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the size , keyboard , the functions ."], "output": "['keyboard', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the size , keyboard , the functions ."], "output": "['functions', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mouse is way way way too sensitive ."], "output": "['mouse', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly ."], "output": "['OS', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly ."], "output": "['run', ['flawlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , I issued a replacement RMA for a few dead pixels in the upper zone of the screen , which is noticable to me ."], "output": "['screen', ['noticable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After way too many times sending the thing in for repairs ( delivery service was slow , and without the laptop I had no access to the internet , and thus no way of tracking it to find out when I might hope to see my computer again ) , it finally kicked the bucket after just over 2 years ."], "output": "['delivery', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend reports the notebook is astonishing in performance , picture quality , and ease of use ."], "output": "['performance', ['astonishing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend reports the notebook is astonishing in performance , picture quality , and ease of use ."], "output": "['picture', ['astonishing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend reports the notebook is astonishing in performance , picture quality , and ease of use ."], "output": "['use', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the i3 processor does n't seem to run hot and the fan rarely turns on ."], "output": "['i3', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the i3 processor does n't seem to run hot and the fan rarely turns on ."], "output": "['fan', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["See when it comes to laptops you buy it and get just a normal operating system with trials of must need stuff that should come with it ."], "output": "['operating', ['normal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I do n't understand is that the resolution of the screen is n't high enough for some pages , such as Yahoo ! Mail ."], "output": "['resolution', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I wish this had was the option to turn off the touchpad with a button like my big 16 '' laptop does ."], "output": "['touchpad', ['turn']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["very convenient when you travel and the battery life is excellent ..."], "output": "['battery', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The machine is slow to boot up and occasionally crashes completely ."], "output": "['boot', ['slow', 'crashes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the screen brightness automatically adjusts ."], "output": "['screen', ['automatically']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I especially like the backlit keyboard ."], "output": "['backlit', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Besides the great look , it is a great machine ."], "output": "['look', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sound is a bit quiet if you 're on a plane , this can easily be overcome with a decent pair of head phones ."], "output": "['sound', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The buttons you have to press a little harder than most ."], "output": "['buttons', ['harder']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right size and weight for portability ."], "output": "['size', ['Right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right size and weight for portability ."], "output": "['weight', ['Right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right size and weight for portability ."], "output": "['portability', ['Right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life also does n't keep up with the claim but still I think macbook is much ahead from the rest of the pack ."], "output": "['battery', ['does', 'much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The reflectiveness of the display is only a minor inconvenience if you work in a controlled-lighting environment like me ( I prefer it dark ) or if you can crank up the brightness ."], "output": "['display', ['minor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The reflectiveness of the display is only a minor inconvenience if you work in a controlled-lighting environment like me ( I prefer it dark ) or if you can crank up the brightness ."], "output": "['brightness', ['crank']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My one complaint with this laptop is that I 've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in ."], "output": "['electronic', ['complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My one complaint with this laptop is that I 've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in ."], "output": "['headphone', ['complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While it was highly rated , would I like it ? I tried the keyboard at the store , and it seemed ok ."], "output": "['keyboard', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Treat yourself to a more expensive , long-lasting laptop of quality like a Sony , Apple , or Toshiba ."], "output": "['quality', ['long-lasting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ."], "output": "['gaming', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ."], "output": "['graphics', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ."], "output": "['complex', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( No problem with the ordering or shipping by the way ."], "output": "['shipping', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ."], "output": "['ram', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ."], "output": "['performance', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ."], "output": "['surf', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The one thing I wish it had was a detailed hardcopy manuel ."], "output": "['hardcopy', ['wish', 'detailed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I edit and burn to DVD a lot of video , so I obviously could not live with a non-functioning drive ."], "output": "['drive', ['could', 'non-functioning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fast , great visual !"], "output": "['visual', ['Fast', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's priced very reasonable and works very well right out of the box ."], "output": "['priced', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's priced very reasonable and works very well right out of the box ."], "output": "['works', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["while the keyboard itself is alright , the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons ."], "output": "['keyboard', ['alright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["while the keyboard itself is alright , the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons ."], "output": "['plate', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["while the keyboard itself is alright , the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons ."], "output": "['mouse', ['hollow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There are so many wonderful features and benefits to the new MacBook !"], "output": "['features', ['wonderful', 'benefits']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the mcbook pro notebook will make it easy for you to write and read your emails at blazing speeds ."], "output": "['speeds', ['easy', 'blazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing i can say is that the touch pad doesnt work like it should all the time ."], "output": "['touch', ['doesnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I love this particular Mac because its very fast , great size , and has fantastic features like the lighted keyboard and easy mouse pad ."], "output": "['size', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I love this particular Mac because its very fast , great size , and has fantastic features like the lighted keyboard and easy mouse pad ."], "output": "['features', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I love this particular Mac because its very fast , great size , and has fantastic features like the lighted keyboard and easy mouse pad ."], "output": "['lighted', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I love this particular Mac because its very fast , great size , and has fantastic features like the lighted keyboard and easy mouse pad ."], "output": "['mouse', ['fantastic', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For some odd reasons the computer does n't recognize the operation system ."], "output": "['operation', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The trackpad was easy to learn and navigate ."], "output": "['trackpad', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Applications open in seconds and there are no lags , hiccups or awkward moments when you wonder whether your computer is out for tea ."], "output": "['Applications', ['open']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I respond that I do not have the old computer and this way I would lose the data on my hard drive ."], "output": "['hard', ['lose']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Again in February my computer completely failed to the point that it could not load Windows so I contacted Acer to get it fixed thru my Warrenty and it took about 3 days fighting on the phone with agents and it seemed as though NONE of them spoke English ."], "output": "['Windows', ['failed', 'could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though the computer is larger they did not make the keyboard larger ."], "output": "['keyboard', ['not', 'larger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We paid for the three year warranty and the extended warranty after that one ended as well ."], "output": "['three', ['paid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We paid for the three year warranty and the extended warranty after that one ended as well ."], "output": "['extended', ['paid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its not just slow on the internet , its slow in general ."], "output": "['internet', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has just enough RAM to run smoothly and enough memory to satisfy my needs ."], "output": "['RAM', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has just enough RAM to run smoothly and enough memory to satisfy my needs ."], "output": "['memory', ['smoothly', 'enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I acually believe the issue is with the Nvidia grafics card , but still requires a return ."], "output": "['Nvidia', ['issue']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband got me this for Chrismas after getting me a very expensive laptop that did not work after 2 days ."], "output": "['work', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The resolution is even higher then any other laptop on the market ."], "output": "['resolution', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then just the other day , my left `` mouse '' button snapped !"], "output": "['left', ['snapped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is VERY easy to type on and feels great - besides the added feature that the keyboard is lighted ."], "output": "['keyboard', ['lighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is VERY easy to type on and feels great - besides the added feature that the keyboard is lighted ."], "output": "['feature', ['added']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is VERY easy to type on and feels great - besides the added feature that the keyboard is lighted ."], "output": "['type', ['easy', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The feel of this machine compared to the old MacBook is far superior ."], "output": "['feel', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In due course , I 'll remove the hard disc from this new MacBook Pro and dump it where it belongs - in the trash ."], "output": "['hard', ['remove']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They break down just as often as PCs do , and the only reason they do n't get viruses , is because no one makes viruses for them , they 're not better in any way , they are worse , try finding virus protection programs for a Mac , they do n't exist ."], "output": "['virus', ['not', 'worse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But with A WAY Bigger Screen , and IS able to connect to an HDMI ."], "output": "['Screen', ['Bigger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But with A WAY Bigger Screen , and IS able to connect to an HDMI ."], "output": "['HDMI', ['able']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the graphics are awful and the wireless switch it at the top rather than the side which I am used to it being on the side ."], "output": "['graphics', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The overall build quality of the unit is excellent and she 'd recommend it to anyone else looking for a netbook ."], "output": "['build', ['excellent', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The repairs were made quickly though I must say , however the second time they shipped it to the incorrect address and it took nearly a week for them to get it to me ."], "output": "['shipped', ['incorrect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is fast and i have not had a problem with internet connection or any other problems ."], "output": "['internet', ['fast', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm really impressed with the quality and performance for the price of the computer ."], "output": "['quality', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm really impressed with the quality and performance for the price of the computer ."], "output": "['performance', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm really impressed with the quality and performance for the price of the computer ."], "output": "['price', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The speakers are terrible and are probably the cheapest ones I have ever seen in a laptop so if your planning to listen to music I suggest you get something better ."], "output": "['speakers', ['terrible', 'cheapest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is so simple to use , I use it more than my desktop ."], "output": "['use', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen ."], "output": "['touchpad', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen ."], "output": "['screen', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen ."], "output": "['mouse', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have had no problems with it unlike some hardware defects on past models ."], "output": "['hardware', ['defects']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["EITHER WAY , THE KEYBOARD IS UNSATISFACTORY ."], "output": "['KEYBOARD', ['UNSATISFACTORY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , I have to say since I bought my Mac , I wo n't ever go back to any Windows ."], "output": "['Windows', ['wo']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I took it in to the Apple store and guess what ? They fixed it , no cost out of pocket ."], "output": "['cost', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quality , engineering design and warranty are superior -- covers damage from dropping the laptop ."], "output": "['quality', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quality , engineering design and warranty are superior -- covers damage from dropping the laptop ."], "output": "['engineering', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quality , engineering design and warranty are superior -- covers damage from dropping the laptop ."], "output": "['warranty', ['superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The applications are also very easy to find and maneuver , much easier than any other computer I have ever owned ."], "output": "['applications', ['easy', 'easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The large screen gives you the option to comfortably watch movies or TV shows on your computer instead of buying an additional TV for your dorm room ."], "output": "['screen', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great laptop for school , easy to use for beginners in the household ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["4 ) Laptop still did not work , blue screen within a week ..."], "output": "['work', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing that is n't perfect about this netbook is the speakers , they are not loud at all but I expected that ."], "output": "['speakers', ['is', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course , I inspected the other netbooks and clearly their hinges are tighter and I even demonstrate the difference between my netbook and others ."], "output": "['hinges', ['clearly', 'tighter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not to mention the fact that your mac comes fully loaded with all necessary basic programs ."], "output": "['programs', ['necessary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Did n't work when shipped from Walmart.com but went into a store and exchanged for a working laptop ( same make/model ) ."], "output": "['work', ['Did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If this is an improvement in Customer Service then I would hate too see what it was before !"], "output": "['Customer', ['improvement']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of the programs ( Keynote , Pages , Numbers ) have an option to save your documents as Microsoft compatible , which really eliminates the need for the actual ."], "output": "['Numbers', ['eliminates']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sure , the initial out of pocket expense is greater , but that should not dissuade anyone from the fact that these machines run like none other on the planet , and when I factor in all the money in that I wasted on Geek Squad and the latest patches to de-corrupt my infested PCs , it probably comes out about even anyhow ."], "output": "['expense', ['greater']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best thing to do is build your own computer , but if u ca n't company 's like dell who allow you to choose the components are better and for the same price you can get a computer who compares to one of apple $ 2000 systems and if you google `` dell coupons '' you can find codes that take a significant amount off the price ."], "output": "['components', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no cd drive on the computer , which defeats the purpose of keeping files on a cd ."], "output": "['cd', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For me I was lucky and a local store was selling them for $ 2000 off and Best Buy matched their price so I was able to buy one for under $ 1000"], "output": "['price', ['lucky', 'Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unfortunately , Apple 's quality has continued to slide ."], "output": "['quality', ['Unfortunately', 'slide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I believe that the quality of a mac is worth the price ."], "output": "['quality', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I believe that the quality of a mac is worth the price ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes you will be moving your finger and the pointer will not even move ."], "output": "['pointer', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['shipping', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['price', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The 13 '' Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product ."], "output": "['budget', ['fits']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would rate this computer at 5 stars , but considering it has a short life span I can only give it 1 and implore anyone looking at laptops to stay away from this machine ."], "output": "['life', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also love the design , the looks , the feel , and the my toshiba feature is wonderfull ."], "output": "['design', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also love the design , the looks , the feel , and the my toshiba feature is wonderfull ."], "output": "['looks', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also love the design , the looks , the feel , and the my toshiba feature is wonderfull ."], "output": "['feel', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also love the design , the looks , the feel , and the my toshiba feature is wonderfull ."], "output": "['my', ['wonderfull']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The layout of the MacBook is horrible and confusing ;"], "output": "['layout', ['horrible', 'confusing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Was not happy with one of the programs on it ."], "output": "['one', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also it is very good for college students who just need a reliable , easy to use computer ."], "output": "['use', ['good', 'reliable', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first one sent : Touchpad did n't work The second sent : USB did n't work The third sent : Touchpad did n't work The fourth sent : Has n't arrived yet ."], "output": "['Touchpad', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first one sent : Touchpad did n't work The second sent : USB did n't work The third sent : Touchpad did n't work The fourth sent : Has n't arrived yet ."], "output": "['USB', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first one sent : Touchpad did n't work The second sent : USB did n't work The third sent : Touchpad did n't work The fourth sent : Has n't arrived yet ."], "output": "['Touchpad', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only other thing is that if you are using this for document creation Apple doesnt provide any kind of word processor ( such as works for windows ) , but iwork is cheap compared to office ."], "output": "['iwork', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only other thing is that if you are using this for document creation Apple doesnt provide any kind of word processor ( such as works for windows ) , but iwork is cheap compared to office ."], "output": "['word', ['doesnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is light and the battery last a very long time ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And at one point , they blame me for installing a bad memory stick when I upgrade my memory for the first time during my purchase of the laptop ( I bought the memory stick they recomended ) ."], "output": "['memory', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Externally the keys on my keyboard are falling off , after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit , and the screen has a terrible glare ."], "output": "['keys', ['falling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Externally the keys on my keyboard are falling off , after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit , and the screen has a terrible glare ."], "output": "['keyboard', ['falling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Externally the keys on my keyboard are falling off , after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit , and the screen has a terrible glare ."], "output": "['button', ['rubbing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Externally the keys on my keyboard are falling off , after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit , and the screen has a terrible glare ."], "output": "['screen', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Externally the keys on my keyboard are falling off , after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit , and the screen has a terrible glare ."], "output": "['paint', ['rubbing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The next time I had an issue my lightscribe would n't work ."], "output": "['lightscribe', ['would']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The touchpad is extremely sensitive , which is the only drawback ."], "output": "['touchpad', ['sensitive', 'drawback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also it comes with very useful applications like iphoto that it is the best photo application i have ever had"], "output": "['applications', ['useful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also it comes with very useful applications like iphoto that it is the best photo application i have ever had"], "output": "['iphoto', ['useful', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also it comes with very useful applications like iphoto that it is the best photo application i have ever had"], "output": "['photo', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Bluetooth', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Fingerprint', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['screen', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Mic', ['Integrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Dual', ['interesting', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Webcam', ['Integrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- Bluetooth ( 2.1 ) , Fingerprint Reader , Full 1920x1080 screen -- Integrated Mic / Webcam * -- Dual touchpad mode is interesting , and easy to use -5 USB ports -- Runs about 38-41C on idle , Up to 65 ( for me ) on load -Very quiet -I could go on and on ."], "output": "['Runs', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it , but I like the big screen on it ."], "output": "['17', ['hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it , but I like the big screen on it ."], "output": "['screen', ['like', 'big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In November my computer messed up entirely and would n't power on after intalling a Windows update , I had to have my HD flashed and lost EVERYTHING on it , including my school assignments and irriplaceable pictures that were only in digital format and several other things , when this update was installed for some reason I was unable to roll back the drivers and everything to an earlier working condition because when the update was installed it deleted my history ."], "output": "['Windows', ['messed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can have both OSX and Windows XP running at the same time !"], "output": "['OSX', ['both']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can have both OSX and Windows XP running at the same time !"], "output": "['Windows', ['both']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall : Poor , Features : Average , Performance : Poor , Battery Life : Excellent , Price -- Value : Poor"], "output": "['Features', ['Average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall : Poor , Features : Average , Performance : Poor , Battery Life : Excellent , Price -- Value : Poor"], "output": "['Performance', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall : Poor , Features : Average , Performance : Poor , Battery Life : Excellent , Price -- Value : Poor"], "output": "['Battery', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall : Poor , Features : Average , Performance : Poor , Battery Life : Excellent , Price -- Value : Poor"], "output": "['Price', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall : Poor , Features : Average , Performance : Poor , Battery Life : Excellent , Price -- Value : Poor"], "output": "['Value', ['Poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Microsoft seems to be unable to keep up with repairs for the multitude of windows problems ."], "output": "['windows', ['problems']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The graphics are stunning ."], "output": "['graphics', ['stunning']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( I found a 2GB stick for a bit under $ 50 ) Nice and portable and definitely a decent enough system to keep you entertained while sitting in the airplane for a couple of hours , or at the hotel taking care of some last minute details and documents ."], "output": "['system', ['Nice', 'portable', 'decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["after much effort and 10 days ASUS replaced itThe WiFi is very weak ."], "output": "['WiFi', ['weak']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can call HP and they want you to buy more software to fix it ."], "output": "['software', ['fix']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to navigate and update programs ."], "output": "['update', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to navigate and update programs ."], "output": "['navigate', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": [", Applications respond immediately ( not like the tired MS applications ) ."], "output": "['Applications', ['respond']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All in all , a very disappointing experience except that I learned how good the Geek Squad is and also Customer Service ."], "output": "['Customer', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only drawback for me is how dirty the screen gets , and rather quickly too ."], "output": "['screen', ['dirty', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The laptop is very lightweight , can easily carry around in a knapsack full of text books and it barely adds any weight ."], "output": "['carry', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The laptop is very lightweight , can easily carry around in a knapsack full of text books and it barely adds any weight ."], "output": "['weight', ['lightweight', 'barely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seems to slow down occassionally but can run many applications ( ie Internet tabs , programs , etc ) simultaneously ."], "output": "['applications', ['many']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also did not like the loud noises it made or how the bottom of the computer would get really hot ."], "output": "['noises', ['not', 'loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also did not like the loud noises it made or how the bottom of the computer would get really hot ."], "output": "['bottom', ['hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had in the past a Dell laptop and they sent me the items it needed or they sent a repair technician to my house to fix it ."], "output": "['repair', ['fix']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["defective software ."], "output": "['software', ['defective']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer was so challenging to carry and handle ."], "output": "['carry', ['challenging']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer was so challenging to carry and handle ."], "output": "['handle', ['challenging']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cords coming out the right for power plus cords coming out front for headphones/mic plus network connection on left make for a very messy setup with cords going every direction ."], "output": "['setup', ['messy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unless you want to be inconvenienced with a non working power supply which you ca n't find a replacement for because they made the attachment so small ."], "output": "['power', ['inconvenienced', 'non']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is much faster than my desktop which is a Core2 Quad running at 2.83 GHz ."], "output": "['Core2', ['faster']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is good to know that I can mobilize without having to worry about the battery life ."], "output": "['battery', ['without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is nice , side view angles are pretty good ."], "output": "['screen', ['nice', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fact that the screen reacts to the lighting around you is an added luxury -when you are working around others in dark areas and want privacy or do n't want to bother them with bright lighting , it is very convenient to have a darker , softer lit screen ."], "output": "['screen', ['added']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fact that the screen reacts to the lighting around you is an added luxury -when you are working around others in dark areas and want privacy or do n't want to bother them with bright lighting , it is very convenient to have a darker , softer lit screen ."], "output": "['screen', ['softer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["3 weeks went by and the computer keeps crashing and will not open any applications ."], "output": "['applications', ['crashing', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not to mention sometimes the whole charger unit will decide not to work entirely ."], "output": "['charger', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looks nice , but has a horribly cheap feel ."], "output": "['feel', ['horribly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looks nice , but has a horribly cheap feel ."], "output": "['Looks', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have other computers that get strong signals that do n't drop in places that this `` net '' book loses its signal ."], "output": "['signals', ['strong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have other computers that get strong signals that do n't drop in places that this `` net '' book loses its signal ."], "output": "['signal', ['loses']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The feel of this is better than the Toshiba , too ."], "output": "['feel', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend this laptop to anyone looking to get a new laptop who is willing to spend a little more money to get great quality !"], "output": "['quality', ['recommend', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home , and it runs just fine ."], "output": "['memory', ['upgraded', 'fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home , and it runs just fine ."], "output": "['Windows', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home , and it runs just fine ."], "output": "['Win', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home , and it runs just fine ."], "output": "['runs', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am not sure if it was the drive itself , however ;"], "output": "['drive', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , one of the users mentioned how the edges on the macbook is sharp , if you have money to spend on one of the incase shells , it does n't seem to be a problem ."], "output": "['edges', ['sharp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , its keyboard easily accommodates large hands , and its weight is fantastic ."], "output": "['keyboard', ['easily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , its keyboard easily accommodates large hands , and its weight is fantastic ."], "output": "['weight', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is easy to use , its keyboard easily accommodates large hands , and its weight is fantastic ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Called Acer many times , they want me to pay the shipping to ship it to their repair center - I was very disappointed since it is a brand new computer !"], "output": "['shipping', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Called Acer many times , they want me to pay the shipping to ship it to their repair center - I was very disappointed since it is a brand new computer !"], "output": "['repair', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery is really long ."], "output": "['battery', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyway , in early July of this year , the DVD burner stopped working , and the computer stared having issues with power supply ."], "output": "['DVD', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyway , in early July of this year , the DVD burner stopped working , and the computer stared having issues with power supply ."], "output": "['power', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Had some trouble finding a case that it would fit in ."], "output": "['case', ['trouble']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer that I have has had issues with the keyboard where it lost half the keyboard functions ."], "output": "['keyboard', ['issues']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This computer that I have has had issues with the keyboard where it lost half the keyboard functions ."], "output": "['keyboard', ['lost']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I called Sony the Customer Service was Great ."], "output": "['Customer', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a much more streamlined system for adding programs , using the internet , and doing other things everyone does on a computer ."], "output": "['programs', ['adding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a much more streamlined system for adding programs , using the internet , and doing other things everyone does on a computer ."], "output": "['system', ['streamlined']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a much more streamlined system for adding programs , using the internet , and doing other things everyone does on a computer ."], "output": "['using', ['streamlined']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My computer froze on several occasion , had buttons that randomely would fall off and even had moments when the computer would refuse to turn on at all ."], "output": "['buttons', ['fall']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not even safe mode boots ."], "output": "['safe', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is an over-sized , 18-inch laptop ."], "output": "['18-inch', ['over-sized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had to pay $ 100 for a universal charger for this cheap $ 300 laptop ."], "output": "['universal', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The powerpoint opened seamlessly in the apple and the mac hooked up to the projector so easily it was almost scary ."], "output": "['powerpoint', ['seamlessly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["1.You can not change your desktop background ( window 's 7 starter does NOT support that function ) ."], "output": "['desktop', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["1.You can not change your desktop background ( window 's 7 starter does NOT support that function ) ."], "output": "['window', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["1.You can not change your desktop background ( window 's 7 starter does NOT support that function ) ."], "output": "['function', ['NOT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running ."], "output": "['charger', ['stopped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running ."], "output": "['hardware', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen gets smeary and dusty very quickly and it 's very noticeable ."], "output": "['screen', ['smeary', 'dusty', 'quickly', 'noticeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Strengths : Well -- shaped Weaknesses : A bad videocard !"], "output": "['videocard', ['Weaknesses', 'bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Strengths : Well -- shaped Weaknesses : A bad videocard !"], "output": "['shaped', ['Well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You ca n't even get a satellite card which is why I bought to begin with ."], "output": "['satellite', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The battery life , before the battery completely died of course , left much to be desired ."], "output": "['battery', ['left']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a REAL touchpad , not the toy I saw in other brands ."], "output": "['touchpad', ['REAL']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Price and purpose is awesome !"], "output": "['Price', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wonderful zooming ."], "output": "['zooming', ['Wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The screen is huge and colorful , but no LED backlighting ."], "output": "['screen', ['huge', 'colorful', 'no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In all honesty , if someone is looking for a quality laptop and willing to pay a little more money for a normal sized laptop than a cheaper and less impressive laptop , then do not buy this computer ."], "output": "['sized', ['normal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything about this computer is easy to use ."], "output": "['use', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Worse , for the price I could get a *netbook* that outperforms this machine ."], "output": "['price', ['Worse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It had most of the features and all of the power that I wanted to replace my desktop machine ."], "output": "['features', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It had most of the features and all of the power that I wanted to replace my desktop machine ."], "output": "['power', ['wanted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard was also very nice and had a solid feel ."], "output": "['Keyboard', ['nice', 'solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It did not have all the features I expected it to have ."], "output": "['features', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No luck , although I waited for hours on the phone-Visited MacHouse , they stated the their call center is down due to too many phonecalls ( difficult to believe ) ."], "output": "['call', ['down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is a backlit keyboard which is perfect for typing in the dark ."], "output": "['backlit', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a lot of memory and a great battery life ."], "output": "['memory', ['a']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It has a lot of memory and a great battery life ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I spoke with a service rep at Micro Center and his girlfriend is having the same problem with her power adapter , so it 's not just an isolated incident ! ! !"], "output": "['power', ['problem']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love this program , it is superior to windows movie maker ."], "output": "['program', ['love', 'superior']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He has replaced his hard drive twice and ( of course ) has had to pay for antivirus software every year ."], "output": "['hard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This purchase opened me to the world of Macbooks , and I am impressed with the intuition of the design , the beauty of the product , and the excellent technological advances associated with it ."], "output": "['design', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This purchase opened me to the world of Macbooks , and I am impressed with the intuition of the design , the beauty of the product , and the excellent technological advances associated with it ."], "output": "['beauty', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is great for this model , I only plan on using it for media in the entertainment room ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It seemed to be a very nice laptop except I was not able to load my Garmin GPS software or Microsoft Office 2003 ."], "output": "['Garmin', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It seemed to be a very nice laptop except I was not able to load my Garmin GPS software or Microsoft Office 2003 ."], "output": "['Microsoft', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've also had to have the keyboard replaced at my expense ."], "output": "['keyboard', ['replaced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the staff telling me older version did not make the fan noise cause it is a `` different '' computer ."], "output": "['fan', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Was very much worth the price i paid ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even out of warranty !"], "output": "['warranty', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a great little computer for the price ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Crisp screen , great battery life , and plenty of storage ."], "output": "['screen', ['Crisp']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Crisp screen , great battery life , and plenty of storage ."], "output": "['battery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Crisp screen , great battery life , and plenty of storage ."], "output": "['storage', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All apple associates are always willing to help you out with anything , no matter when you purchased the computer and how many years passed ."], "output": "['apple', ['willing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , my sister got the exact same laptop ( since they were so cheap ) and after 8 months , the screen split in half just from everyday use ."], "output": "['screen', ['split']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Toshiba Satellite has been more than I expected for the price ."], "output": "['price', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had to adjust my mousepad sensitivity , because it is very sensitive ."], "output": "['mousepad', ['sensitive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Keyboard is plastic and spongey feeling ."], "output": "['Keyboard', ['plastic', 'spongey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["previous laptops were pc 's , still have them , but the mac osx is a clean and smooth operating system ."], "output": "['mac', ['clean', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["previous laptops were pc 's , still have them , but the mac osx is a clean and smooth operating system ."], "output": "['operating', ['clean', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i also love having the extra calculator number set up on the keyboard which most laptops do not have ."], "output": "['keyboard', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love my Apple , it is quick and easy to use ."], "output": "['use', ['love', 'quick', 'easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The laptop is relatively simple to use , though I bought Macs for Dummies , which is well worth $ 2"], "output": "['use', ['simple', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No tutorials on the display ."], "output": "['tutorials', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The touch pad is among the best ."], "output": "['touch', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also use Paralles so we can run virtual machines of Windows XP Professional , Windows 7 Home Premium , Windows Server Enterprise 2003 , and Windows Server 2008 Enterprise ."], "output": "['Paralles', ['use']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also use Paralles so we can run virtual machines of Windows XP Professional , Windows 7 Home Premium , Windows Server Enterprise 2003 , and Windows Server 2008 Enterprise ."], "output": "['Windows', ['run']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also use Paralles so we can run virtual machines of Windows XP Professional , Windows 7 Home Premium , Windows Server Enterprise 2003 , and Windows Server 2008 Enterprise ."], "output": "['Windows', ['run']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also use Paralles so we can run virtual machines of Windows XP Professional , Windows 7 Home Premium , Windows Server Enterprise 2003 , and Windows Server 2008 Enterprise ."], "output": "['Windows', ['run']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also use Paralles so we can run virtual machines of Windows XP Professional , Windows 7 Home Premium , Windows Server Enterprise 2003 , and Windows Server 2008 Enterprise ."], "output": "['Windows', ['run']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["How Toshiba handles the repair seems to vary , some folks indicate that they were charged for even an intial fix , others had the repair done 5 times ."], "output": "['repair', ['vary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would like to use a different operating system altogether ."], "output": "['operating', ['like', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the staff was so horrible to us ."], "output": "['staff', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of Teodora ."], "output": "['food', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is uniformly exceptional , with a very capable kitchen which will proudly whip up whatever you feel like eating , whether it 's on the menu or not ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is uniformly exceptional , with a very capable kitchen which will proudly whip up whatever you feel like eating , whether it 's on the menu or not ."], "output": "['kitchen', ['capable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only was the food outstanding , but the little ' perks ' were great ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only was the food outstanding , but the little ' perks ' were great ."], "output": "['perks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our agreed favorite is the orrechiete with sausage and chicken ( usually the waiters are kind enough to split the dish in half so you get to sample both meats ) ."], "output": "['orrechiete', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our agreed favorite is the orrechiete with sausage and chicken ( usually the waiters are kind enough to split the dish in half so you get to sample both meats ) ."], "output": "['waiters', ['kind']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Bagels have an outstanding taste with a terrific texture , both chewy yet not gummy ."], "output": "['Bagels', ['outstanding', 'terrific', 'chewy', 'gummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nevertheless the food itself is pretty good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['toast', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['bacon', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['cheese', ['left']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['ingredients', ['left']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['plate', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They did not have mayonnaise , forgot our toast , left out ingredients ( ie cheese in an omelet ) , below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it ."], "output": "['omelet', ['left']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['design', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['atmosphere', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is the best if you like thin crusted pizza ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seats are uncomfortable if you are sitting against the wall on wooden benches ."], "output": "['seats', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My suggestion is to eat family style because you 'll want to try the other dishes ."], "output": "['eat', ['suggestion']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['vibe', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['owner', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['service', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Faan 's got a great concept but a little rough on the delivery ."], "output": "['delivery', ['rough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the incredible food , to the warm atmosphere , to the friendly service , this downtown neighborhood spot does n't miss a beat ."], "output": "['food', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the incredible food , to the warm atmosphere , to the friendly service , this downtown neighborhood spot does n't miss a beat ."], "output": "['atmosphere', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the incredible food , to the warm atmosphere , to the friendly service , this downtown neighborhood spot does n't miss a beat ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food at REASONABLE prices , makes for an evening that ca n't be beat !"], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food at REASONABLE prices , makes for an evening that ca n't be beat !"], "output": "['prices', ['REASONABLE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['interior', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['prices', ['affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Two words : Free wine ."], "output": "['wine', ['Free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is reasonable although the service is poor ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is reasonable although the service is poor ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quantity is also very good , you will come out satisfied ."], "output": "['quantity', ['good', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fried rice is amazing here ."], "output": "['fried', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Three courses - choices include excellent mussels , puff pastry goat cheese and salad with a delicious dressing , and a hanger steak au poivre that is out of this world ."], "output": "['mussels', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Three courses - choices include excellent mussels , puff pastry goat cheese and salad with a delicious dressing , and a hanger steak au poivre that is out of this world ."], "output": "['puff', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Three courses - choices include excellent mussels , puff pastry goat cheese and salad with a delicious dressing , and a hanger steak au poivre that is out of this world ."], "output": "['salad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Three courses - choices include excellent mussels , puff pastry goat cheese and salad with a delicious dressing , and a hanger steak au poivre that is out of this world ."], "output": "['hanger', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it 's a perfect place to have a amazing indian food ."], "output": "['indian', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['service', ['prompt', 'curtious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['place', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["At the end you 're left with a mild broth with noodles that you can slurp out of a cup ."], "output": "['broth', ['mild']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I just wonder how you can have such a delicious meal for such little money ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I just wonder how you can have such a delicious meal for such little money ."], "output": "['money', ['little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious but do not come here on a empty stomach ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is excellent ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ive been to many Thai restaurants in Manhattan before , and Toons is by far the best Thai food Ive had ( except for my mom 's of course ) ."], "output": "['Thai', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a consistently great place to dine for lunch or dinner ."], "output": "['dine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['atmosphere', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['service', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['desert', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "['bar', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "['table', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "['dinner', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous service , fantastic food , and a chilled out atmosphere and environment ."], "output": "['service', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous service , fantastic food , and a chilled out atmosphere and environment ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous service , fantastic food , and a chilled out atmosphere and environment ."], "output": "['atmosphere', ['chilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous service , fantastic food , and a chilled out atmosphere and environment ."], "output": "['environment', ['chilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I liked the beer selection !"], "output": "['beer', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretentious setting ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretentious setting ."], "output": "['menu', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretentious setting ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretentious setting ."], "output": "['setting', ['unpretentious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go here for a romantic dinner but not for an all out wow dining experience ."], "output": "['dinner', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go here for a romantic dinner but not for an all out wow dining experience ."], "output": "['dining', ['wow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['Wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['wine-by-the-glass', ['generously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the great variety on the menu , I eat here often and never get bored ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is very limited - i think we counted 4 or 5 entrees ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['dishes', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not too crazy about their sake martini ."], "output": "['sake', ['crazy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bagels , spreads and a good place to hang out in ."], "output": "['bagels', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bagels , spreads and a good place to hang out in ."], "output": "['spreads', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service varys from day to day- sometimes they 're very nice , and sometimes not ."], "output": "['service', ['varys']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unfortunately , the food is outstanding , but everything else about this restaurant is the pits ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We always have a delicious meal and always leave feeling satisfied ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First went here to enjoy their garden terrace ."], "output": "['garden', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was pretty good and huge ."], "output": "['pizza', ['good', 'huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cuisine from what I 've gathered is authentic Taiwanese , though its very different from what I 've been accustomed to in Taipei ."], "output": "['cuisine', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are often crowded on the weekends but they are efficient and accurate with their service ."], "output": "['service', ['efficient', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are often crowded on the weekends but they are efficient and accurate with their service ."], "output": "['crowded', ['crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All my co-workers were amazed at how small the dish was ."], "output": "['dish', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impeccable , and the food magnificant ."], "output": "['atmosphere', ['unheralded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impeccable , and the food magnificant ."], "output": "['service', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impeccable , and the food magnificant ."], "output": "['food', ['magnificant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat ."], "output": "['grilled', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is friendly , and the food has gotten better and better !"], "output": "['wait', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is friendly , and the food has gotten better and better !"], "output": "['food', ['better', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['vibe', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['French', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['place', ['nice', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Le Pere Pinard has a $ 15 pre-theater menu that is outstanding ."], "output": "['pre-theater', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also ordered for delivery and the restaurant forgot half the order ."], "output": "['delivery', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also ordered for delivery and the restaurant forgot half the order ."], "output": "['order', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The strong scents coming from the left and right of me negatively affected my taste buds ."], "output": "['scents', ['strong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the lobster sandwich and it was FANTASTIC ."], "output": "['lobster', ['FANTASTIC']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the Spider Roll may look like a challenge to eat , with soft shell crab hanging out of the roll , it is well worth the price you pay for them ."], "output": "['Spider', ['challenge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the Spider Roll may look like a challenge to eat , with soft shell crab hanging out of the roll , it is well worth the price you pay for them ."], "output": "['price', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though the Spider Roll may look like a challenge to eat , with soft shell crab hanging out of the roll , it is well worth the price you pay for them ."], "output": "['shell', ['soft']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Deep Fried Skewers are good and still rare to find in NYC ."], "output": "['Deep', ['good', 'rare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['rice', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['congee', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their tuna tartar appetizer is to die for ."], "output": "['tuna', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An oasis of refinement : Food , though somewhat uneven , often reaches the pinnacles of new American fine cuisine - chef 's passion ( and kitchen 's precise execution ) is most evident in the fish dishes and soups ."], "output": "['Food', ['uneven']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An oasis of refinement : Food , though somewhat uneven , often reaches the pinnacles of new American fine cuisine - chef 's passion ( and kitchen 's precise execution ) is most evident in the fish dishes and soups ."], "output": "['chef', ['passion']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An oasis of refinement : Food , though somewhat uneven , often reaches the pinnacles of new American fine cuisine - chef 's passion ( and kitchen 's precise execution ) is most evident in the fish dishes and soups ."], "output": "['fish', ['evident']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An oasis of refinement : Food , though somewhat uneven , often reaches the pinnacles of new American fine cuisine - chef 's passion ( and kitchen 's precise execution ) is most evident in the fish dishes and soups ."], "output": "['soups', ['evident']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An oasis of refinement : Food , though somewhat uneven , often reaches the pinnacles of new American fine cuisine - chef 's passion ( and kitchen 's precise execution ) is most evident in the fish dishes and soups ."], "output": "['kitchen', ['precise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you love wine and cheese and delicious french fare , you 'll love Artisanal !"], "output": "['wine', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you love wine and cheese and delicious french fare , you 'll love Artisanal !"], "output": "['french', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you love wine and cheese and delicious french fare , you 'll love Artisanal !"], "output": "['cheese', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love Indian food and consider myself to be quite an expert on it ."], "output": "['Indian', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall A oh ya even though there is waiting it is deff worth it"], "output": "['waiting', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lava cake dessert was incredible and I recommend it ."], "output": "['lava', ['incredible', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the terrible service , to the bland food , not to mention the unaccommodating managers , the overall experience was horrible ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the terrible service , to the bland food , not to mention the unaccommodating managers , the overall experience was horrible ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the terrible service , to the bland food , not to mention the unaccommodating managers , the overall experience was horrible ."], "output": "['managers', ['unaccommodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Lahore is a great place to duck into late-night when you need some really tasty food on the cheap -- you 'll likely have trouble finishing the amount of food you get for FOUR DOLLARS ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good selection of wines ranging from affordable to high end ."], "output": "['selection', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice restaurant overall , with classic upscale Italian decor ."], "output": "['Italian', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not impressed with the food ."], "output": "['food', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entire dining experience was wonderful !"], "output": "['dining', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine selection ( by the glass and bottle ) is wonderful and I always recommend that friends make a reservation if they 're going to be in town ."], "output": "['wine', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine selection ( by the glass and bottle ) is wonderful and I always recommend that friends make a reservation if they 're going to be in town ."], "output": "['reservation', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is highly refined : our seating was delayed 35 minutes past our reservation and the maitre d ' apologized and regularly kept us apprised of progress ."], "output": "['Service', ['refined']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is highly refined : our seating was delayed 35 minutes past our reservation and the maitre d ' apologized and regularly kept us apprised of progress ."], "output": "['maitre', ['delayed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is highly refined : our seating was delayed 35 minutes past our reservation and the maitre d ' apologized and regularly kept us apprised of progress ."], "output": "['reservation', ['delayed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Order the panang duck , it 's fantastic ."], "output": "['panang', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['raw', ['wondered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than the crappy service from two individuals , it 's great ."], "output": "['service', ['crappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have authentic Indian at amazin prices ."], "output": "['Indian', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have authentic Indian at amazin prices ."], "output": "['prices', ['amazin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance -- relaxed and stylish ."], "output": "['Ambiance', ['relaxed', 'stylish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['ingredients', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['kababs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['Dal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I look forward to eating here again"], "output": "['eating', ['look']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tuk Tuk is one of those comfortable neighborhood joints where you know you will always have a good meal at a fair price ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tuk Tuk is one of those comfortable neighborhood joints where you know you will always have a good meal at a fair price ."], "output": "['price', ['fair']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A glass of Leaping Lizard , a glass of prosecco , and the mussels had everything happy ."], "output": "['glass', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A glass of Leaping Lizard , a glass of prosecco , and the mussels had everything happy ."], "output": "['mussels', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A glass of Leaping Lizard , a glass of prosecco , and the mussels had everything happy ."], "output": "['glass', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was average and creme brulee was awful - the sugar was charred , not caramelized and smelled of kerosene ."], "output": "['Food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was average and creme brulee was awful - the sugar was charred , not caramelized and smelled of kerosene ."], "output": "['creme', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was average and creme brulee was awful - the sugar was charred , not caramelized and smelled of kerosene ."], "output": "['sugar', ['charred']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food always tastes fresh and served promptly ."], "output": "['food', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food always tastes fresh and served promptly ."], "output": "['served', ['promptly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza here is delicious ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza and garlic knots are great as well , I order from them quite often and the delivery is always super quick !"], "output": "['Pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza and garlic knots are great as well , I order from them quite often and the delivery is always super quick !"], "output": "['delivery', ['super']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza and garlic knots are great as well , I order from them quite often and the delivery is always super quick !"], "output": "['garlic', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For great chinese food nearby , you have Wu Liang Ye and Grand Sichuan just a block away ."], "output": "['chinese', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "['food', ['forgotten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Hats off to the chef ."], "output": "['chef', ['Hats']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service could be improved but overall this is a place that understands the importance of little things ( the heavy , black , antique-seeming teapot , for one ) in the restaurant experience ."], "output": "['Service', ['improved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service could be improved but overall this is a place that understands the importance of little things ( the heavy , black , antique-seeming teapot , for one ) in the restaurant experience ."], "output": "['teapot', ['antique-seeming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."], "output": "['cheese', ['cheap', 'frozen', 'shredded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its an excellent place to relax and the food is one of the best in the city of New York ."], "output": "['place', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its an excellent place to relax and the food is one of the best in the city of New York ."], "output": "['food', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["service is friendly , and never had a problem walking in and getting a table ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["service is friendly , and never had a problem walking in and getting a table ."], "output": "['getting', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was crowded but it was a great bistro-type vibe ."], "output": "['atmosphere', ['crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere was crowded but it was a great bistro-type vibe ."], "output": "['bistro-type', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First off , the waitress was completely unattentive the 2 times we saw her ( odd in a restaurant with 6 tables ) and got our order wrong ."], "output": "['waitress', ['unattentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was bland oily ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What is even better , is that the prices are very affordable as well , and the food is really good ."], "output": "['prices', ['affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What is even better , is that the prices are very affordable as well , and the food is really good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish is fresh but the variety of fish is nothing out of ordinary ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish is fresh but the variety of fish is nothing out of ordinary ."], "output": "['variety', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."], "output": "['pesto', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."], "output": "['house', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."], "output": "['bottle', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."], "output": "['meal', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And Kruno , the beverage manager is the best bartender I have yet to come across ."], "output": "['bartender', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And Kruno , the beverage manager is the best bartender I have yet to come across ."], "output": "['beverage', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance and music funky , which I enjoy ."], "output": "['Ambiance', ['funky', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance and music funky , which I enjoy ."], "output": "['music', ['funky', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , drinks and service are clearly among the best in the city ."], "output": "['food', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , drinks and service are clearly among the best in the city ."], "output": "['drinks', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , drinks and service are clearly among the best in the city ."], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."], "output": "['ambiance', ['romantic', 'alluring']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."], "output": "['service', ['five']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."], "output": "['foods', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."], "output": "['captain', ['complicated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."], "output": "['back', ['complicated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience ."], "output": "['atmosphere', ['saves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Granted the space is smaller than most , it is the best service you will find in even the largest of restaurants ."], "output": "['space', ['smaller']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Granted the space is smaller than most , it is the best service you will find in even the largest of restaurants ."], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the atmorphere @ peep !"], "output": "['atmorphere', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive and her suggestions of menu items was right on the mark ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive and her suggestions of menu items was right on the mark ."], "output": "['menu', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The other night we had the $ 30 three course meal and everything was delicious - if I could of licked the plate clean I would of ."], "output": "['three', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even after getting pushed out by the no-class Famous Ray 's , Sal has risen again to carry on his father 's uncle 's legacies with a smile , true love for his community , and let 's not forget the Outstanding Pizza !"], "output": "['Pizza', ['Outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."], "output": "['environment', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."], "output": "['food', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."], "output": "['service', ['pathetic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had crawfish boiled and despite making a mess , it was a ton of fun and quite tasty as well ."], "output": "['crawfish', ['fun', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What came to our table was burned beyond recognition and stringy ."], "output": "['table', ['burned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the Pad Thai and the noodles were sticky ."], "output": "['Pad', ['sticky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the Pad Thai and the noodles were sticky ."], "output": "['noodles', ['sticky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess is rude to the point of being offensive ."], "output": "['hostess', ['rude', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you 're craving for Haru 's great food , especially the House Roll , but ca n't stand the wait building outisde , head across the street to their Sake Bar !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."], "output": "['corridor', ['narrow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."], "output": "['space', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."], "output": "['counters', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."], "output": "['entrees', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Succulent steaks cooked precisely to your desired 'doneness ' accompanied by salads and sides that do n't look like leafy road kill ."], "output": "['steaks', ['desired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent wine at reasonable prices ."], "output": "['wine', ['Decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent wine at reasonable prices ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All conveniently delivered right to the door ."], "output": "['delivered', ['conveniently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["even the wine by the glass was good ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This dish is my favorite and I always get it when I go there and never get tired of it ."], "output": "['dish', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also ordered the Change Mojito , which was out of this world ."], "output": "['Change', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Okay service ."], "output": "['service', ['Okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was just awful , ATROCIOUS actually ."], "output": "['food', ['awful', 'ATROCIOUS']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['anti-pasta', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['calamari', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['filling', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress suggested glasses of wine that went very well with the food ."], "output": "['glasses', ['went']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They might be all business at the counter when you give your order , but their food says I love you ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They might be all business at the counter when you give your order , but their food says I love you ."], "output": "['counter', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['types', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['ceviche', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['crab', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['assorted', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['sushi', ['particular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['rolls', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['sake', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['banana', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try their plain pizza with fresh garlic or eggplant ."], "output": "['plain', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try their plain pizza with fresh garlic or eggplant ."], "output": "['garlic', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ok , so the servers wander around a little clueless , but there 's more than enough servers for the crowd they get -- it 's fine , you just have to make a small effort to get their attention ."], "output": "['servers', ['clueless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good luck getting a table ."], "output": "['getting', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is awful ."], "output": "['service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The takeout menu says to keep an eye out for an expanded menu offering more italian dishes , I ca n't wait !"], "output": "['menu', ['expanded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The takeout menu says to keep an eye out for an expanded menu offering more italian dishes , I ca n't wait !"], "output": "['italian', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is good though ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["bottles of wine are cheap and good ."], "output": "['bottles', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['beers', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['pumkin', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert ."], "output": "['crabmeat', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good service and very good prices ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good service and very good prices ."], "output": "['prices', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recently went to this restaurant with some co-workers for lunch and had an amazing time ."], "output": "['lunch', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu , present your meal , and attend to your needs ."], "output": "['service', ['impeccable', 'unobtrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ess-A-Bagel ( either by Sty-town or midtown ) is by far the best bagel in NY ."], "output": "['bagel', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our food was great too !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The most annoying thing , though , is the fact that the servers seem to be trained to drive revenue ."], "output": "['servers', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Please try the Filet Mignon , its just the most tender piece ever ."], "output": "['Filet', ['tender']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sake menu should not be overlooked !"], "output": "['sake', ['overlooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the drinks are amazing and half off till 8pm ."], "output": "['drinks', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i 've been back to nha trang literally a hundred times for the beef cubes - they 're that good ."], "output": "['beef', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service , wine selection , ambiance are all outstanding and deserve recognition ."], "output": "['service', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service , wine selection , ambiance are all outstanding and deserve recognition ."], "output": "['wine', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service , wine selection , ambiance are all outstanding and deserve recognition ."], "output": "['ambiance', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were seated promptly as we had reservations , however after that the service was slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's really also the service , is good and the waiters are friendly ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's really also the service , is good and the waiters are friendly ."], "output": "['waiters', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty good , but a little flavorless and the portions very small , including dessert ."], "output": "['food', ['good', 'flavorless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty good , but a little flavorless and the portions very small , including dessert ."], "output": "['dessert', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty good , but a little flavorless and the portions very small , including dessert ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Lived in Shanghai most of my life and thought the food was comparable to the flagship Green Bo restaurant there ."], "output": "['food', ['comparable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['ambience', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['service', ['recommend', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the NYU students love this place so it makes for a fun young atmosphere ."], "output": "['atmosphere', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here does a great service to the name ( Cantonese that is ... ) ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here does a great service to the name ( Cantonese that is ... ) ."], "output": "['Cantonese', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But , nothing stands out about the cooking ."], "output": "['cooking', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ."], "output": "['atmosphere', ['colorful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ."], "output": "['Prix', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ."], "output": "['quantity', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ."], "output": "['quality', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ."], "output": "['eggs', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ."], "output": "['hollondaise', ['failed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ."], "output": "['brunch', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I work near-by , and they have the BEST oatmeal in the neighborhood- not a packaged or quick-cooked item ."], "output": "['oatmeal', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Too bad the food was n't of the same heritage ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ."], "output": "['menu', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ."], "output": "['Chilean', ['except']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was really good , I had the onion soup and it was one of the best ever ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was really good , I had the onion soup and it was one of the best ever ."], "output": "['onion', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Since it literally is a complete hole in the wall , it 's a bit intimidating at first , but you get over that very quickly as soon as the friendly staff welcomes you - do n't hesitate to ask for help with what to get ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When he finally did , he was unable to make a gin and tonic -- could n't find tonic ."], "output": "['gin', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ."], "output": "['dim', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ."], "output": "['little', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is ok , some of the people did n't get what they asked for ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want good authentic Thai this place is not the place to go ."], "output": "['Thai', ['good', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend getting a reservation even though we saw people seated without one ."], "output": "['reservation', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree ."], "output": "['Grilled', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Staff is very accomodating ."], "output": "['Staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ."], "output": "['dishes', ['sake-friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ."], "output": "['portion', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was terrific and the service classy , attentive , without being overbearing ."], "output": "['food', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was terrific and the service classy , attentive , without being overbearing ."], "output": "['service', ['classy', 'attentive', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is an amazing place to try some roti rolls ."], "output": "['roti', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fresh ingredients and everything is made to order ."], "output": "['ingredients', ['Fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ."], "output": "['food', ['delivered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ."], "output": "['tip', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quick and friendly service ."], "output": "['service', ['Quick', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are tasty , but I suggest only eating one with meat because they tend not to mesh that well with the average American digestive system ."], "output": "['meat', ['tasty', 'suggest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the hot dogs too , they 're snappy and delicious ."], "output": "['hot', ['Try', 'snappy', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delivery is fast too ."], "output": "['Delivery', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The noise level was unbearable , conversation impossible ."], "output": "['noise', ['unbearable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Personal pans are the perfect size for those hungry nights ."], "output": "['Personal', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ."], "output": "['Spicy', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ."], "output": "['Spider', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of the earlier people commenting on the restaurant did not get the that some experimenting is going on with the menu in a positive way ."], "output": "['menu', ['positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is great if your looking for a laid back scene and an inexpensive way to spend a weekend afternoon ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Odd for Ave B , not just odd , The place attracts an eclectic crowd to say the least ."], "output": "['place', ['odd']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["just got back from lunch at Tamarind and it was excellent ."], "output": "['lunch', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["head and shoulders above its neighboors on east 6 st , taj mahal is also very comparable , in food quality , to the much overpraised ( and underdeserving ) baluchi 's ."], "output": "['food', ['comparable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ."], "output": "['food', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ."], "output": "['containers', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['service', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ."], "output": "['Decor', ['nice', 'minimalist']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ."], "output": "['food', ['simple', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ."], "output": "['wine', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ."], "output": "['salmon', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ."], "output": "['flavor', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ."], "output": "['price', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ."], "output": "['tuna', ['with']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ."], "output": "['cheese', ['with']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ."], "output": "['tuna', ['with']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Especially liked chicken tikka and the naan , and the dals ."], "output": "['chicken', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Especially liked chicken tikka and the naan , and the dals ."], "output": "['naan', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Especially liked chicken tikka and the naan , and the dals ."], "output": "['dals', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters were not attentive except that the bill turned up on the table before we were finished ."], "output": "['waiters', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty ."], "output": "['lawns', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ."], "output": "['staff', ['enjoy', 'young', 'not', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sangria was pretty tasty and good on a hot muggy day ."], "output": "['sangria', ['tasty', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the best ravioli ever ."], "output": "['ravioli', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the menu is n't especially groundbreaking , everything I 've tried so far has been well-executed and tasty ."], "output": "['menu', ['groundbreaking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ive been here a bunch of times now and the service is always outstanding ."], "output": "['service', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quite frankly , this is some of the worst sushi I have ever tried ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great , service is ok ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great , service is ok ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The overall price tag was very very expensive , something I did expect ."], "output": "['price', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spice is great Thai food , love the inexpensive appetizers ."], "output": "['Thai', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spice is great Thai food , love the inexpensive appetizers ."], "output": "['appetizers', ['love', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He not only makes his own homemade mozzarella , but every pie is ultra fresh ."], "output": "['mozzarella', ['homemade']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He not only makes his own homemade mozzarella , but every pie is ultra fresh ."], "output": "['pie', ['ultra']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish was overdone ."], "output": "['Fish', ['overdone']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['main', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['ceiling', ['spectacular', 'hand-painted', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We visited Bread Bar during January restaurant week and were so pleased with the menu selections and service ."], "output": "['menu', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We visited Bread Bar during January restaurant week and were so pleased with the menu selections and service ."], "output": "['service', ['pleased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also make sure you pay attention to the music being piped in - quite a weird selection ."], "output": "['music', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The establishment scores big points in presentation and style ."], "output": "['establishment', ['scores']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rest of the dim sum , though pricey by Chinatown standards , is worth it ."], "output": "['dim', ['pricey', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good food ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very friendly , if not overly efficient ."], "output": "['wait', ['friendly', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum however was very good ."], "output": "['dim', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service has always been friendly and efficient ."], "output": "['Service', ['friendly', 'efficient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its a great place for a casual date or to entertain clients for lunch ."], "output": "['lunch', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All we received was an apology as we left to see our show without dinner ."], "output": "['dinner', ['without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The table next to us asked if he crushed the grapes himself when their long overdue bottle of wine finally arrived ."], "output": "['bottle', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices are very good ."], "output": "['Prices', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Plain and simple it 's bad thai food ."], "output": "['thai', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While certain staples are excellent ( the burger , some of the pastas ) , the food is not really the point ."], "output": "['burger', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While certain staples are excellent ( the burger , some of the pastas ) , the food is not really the point ."], "output": "['pastas', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While certain staples are excellent ( the burger , some of the pastas ) , the food is not really the point ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While certain staples are excellent ( the burger , some of the pastas ) , the food is not really the point ."], "output": "['staples', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Dim Sum was so-so , but not spectacular ."], "output": "['Dim', ['so-so', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was so-so ."], "output": "['food', ['so-so']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is larger than most and features adequate seating unlike most joints , and has a bar which deserves a mention ."], "output": "['seating', ['adequate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is larger than most and features adequate seating unlike most joints , and has a bar which deserves a mention ."], "output": "['bar', ['deserves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is larger than most and features adequate seating unlike most joints , and has a bar which deserves a mention ."], "output": "['place', ['larger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Threw my fiance 's surprise 30th birthday dinner here could n't be happier ."], "output": "['dinner', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food - awesome ."], "output": "['Food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['music', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['service', ['speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['prices', ['affordable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a small wait , but shorter than I expected ."], "output": "['wait', ['small', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price ."], "output": "['lobster', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["May , the owner always has a smile on her and will warmly greet you ."], "output": "['owner', ['warmly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sides were ok and incredibly salty ."], "output": "['sides', ['ok', 'salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For some reason , all the seafood on the menu was unavailable except for the Salmon ."], "output": "['seafood', ['unavailable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For some reason , all the seafood on the menu was unavailable except for the Salmon ."], "output": "['menu', ['unavailable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For some reason , all the seafood on the menu was unavailable except for the Salmon ."], "output": "['Salmon', ['except']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not a large place , but it 's cute and cozy ."], "output": "['place', ['large', 'cute', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The beverages were excellent , and the dessert was good ."], "output": "['beverages', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The beverages were excellent , and the dessert was good ."], "output": "['dessert', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['waitress', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Next time , we would n't dare ordering anything else other than some simple Asian appetizers and drinks ."], "output": "['Asian', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Next time , we would n't dare ordering anything else other than some simple Asian appetizers and drinks ."], "output": "['drinks', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Please if your thinking about it go , and stay the wait you wo n't be disappointed ."], "output": "['wait', ['wo']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I must say the view of NYC is so beautiful !"], "output": "['view', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you 'd like to have a nice light meal with an asian accent , Long Tan is a good place on the slope ."], "output": "['meal', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When going out for a nice dinner , I like a nice ambiance as well as very good food ."], "output": "['dinner', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When going out for a nice dinner , I like a nice ambiance as well as very good food ."], "output": "['ambiance', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When going out for a nice dinner , I like a nice ambiance as well as very good food ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Otherwise , this place has great service and prices and a nice friendly atmosphere ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Otherwise , this place has great service and prices and a nice friendly atmosphere ."], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Otherwise , this place has great service and prices and a nice friendly atmosphere ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Highly recommend this as great value for excellent sushi and service ."], "output": "['sushi', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Highly recommend this as great value for excellent sushi and service ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Highly recommend this as great value for excellent sushi and service ."], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place would be so much better served by being run by a group that actually understands customer service ."], "output": "['service', ['would']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A++ The service was good to excellent along with the attitude ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A++ The service was good to excellent along with the attitude ."], "output": "['attitude', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is awesome - definitely try the striped bass ."], "output": "['food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is awesome - definitely try the striped bass ."], "output": "['striped', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The music does get a little loud at times , but it just made me want to lean closer to my beautiful wife , and as I did , I got a whiff of corriander ."], "output": "['music', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["black white shakes came out good also ."], "output": "['black', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's simply the best meal in NYC ."], "output": "['meal', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We go on Mondays for the prix fixe and our experience with the food has been comparable to Blue Ribbon ."], "output": "['food', ['comparable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , they 've got the most amazing pastrami and the soups hit the spot ."], "output": "['pastrami', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , they 've got the most amazing pastrami and the soups hit the spot ."], "output": "['soups', ['hit']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bagels made the old-fashioned way ."], "output": "['bagels', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is some really good , inexpensive sushi ."], "output": "['sushi', ['good', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my personal favorite is an everything bagel with lox spread , but all the bagles are unbeliavably good ."], "output": "['bagel', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my personal favorite is an everything bagel with lox spread , but all the bagles are unbeliavably good ."], "output": "['bagles', ['unbeliavably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would n't even have complained at all if the food at least tasted good but the quality of food was crappy , too ."], "output": "['quality', ['crappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the next hour and a half we stood in the crowded lobby area of this touristy restaurant listening to all types of explanations of why we were not being seated ."], "output": "['lobby', ['crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['proprietor', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also good for client lunch meetings , esp ."], "output": "['lunch', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is dark , cool and soothing , while the food 's presentation is spectacular , considering the low prices ."], "output": "['decor', ['dark', 'cool', 'soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is dark , cool and soothing , while the food 's presentation is spectacular , considering the low prices ."], "output": "['prices', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is dark , cool and soothing , while the food 's presentation is spectacular , considering the low prices ."], "output": "['food', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Waitstaff were very nice and suggested swordfish for my husband he enjoyed his meal ."], "output": "['Waitstaff', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Waitstaff were very nice and suggested swordfish for my husband he enjoyed his meal ."], "output": "['swordfish', ['suggested']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Waitstaff were very nice and suggested swordfish for my husband he enjoyed his meal ."], "output": "['meal', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The setting is casual and romantic ."], "output": "['setting', ['casual', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrible , terrible management - deserves to be shut-down ."], "output": "['management', ['Terrible', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['service', ['Great', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['seating', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['Delivery', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['sushi', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The desserts are more appealing then stuffy overpriced French restaurants ."], "output": "['desserts', ['appealing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Italian food has flavor ( that can be sort of surprising on the UES ) , and the service turns from a nightmare to attentive , they sort of remind me of the NY Yankees of the late 90 's , no matter how bad it look , you knew that there was a rally just around the corner ..."], "output": "['Italian', ['surprising']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Italian food has flavor ( that can be sort of surprising on the UES ) , and the service turns from a nightmare to attentive , they sort of remind me of the NY Yankees of the late 90 's , no matter how bad it look , you knew that there was a rally just around the corner ..."], "output": "['service', ['nightmare', 'bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['salmon', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mizu is home to creative and unique rolls not to found anywhere else ."], "output": "['rolls', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['food', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['Moules', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['lobster', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cheap eat for NYC , but not for dosa ."], "output": "['dosa', ['but']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cheap eat for NYC , but not for dosa ."], "output": "['eat', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['atmosphere', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['waiters', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['seafood', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['menu', ['ever-changing', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pastrami or corned beef are juicy and piled high ( ask for extra rye bread ) ."], "output": "['Pastrami', ['juicy', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( $ 200 for 2 glasses of champagne , not too expensive bottle of wine and 2 after dinner drinks ) ."], "output": "['glasses', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( $ 200 for 2 glasses of champagne , not too expensive bottle of wine and 2 after dinner drinks ) ."], "output": "['bottle', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was just OK , at least for what food was available ."], "output": "['food', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['waitress', ['patient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['food', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['ambience', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['service', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Solid wine list , knowledgeable staff , friendly owners and an adventurous , ever-changing menu keep us coming back ."], "output": "['wine', ['Solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Solid wine list , knowledgeable staff , friendly owners and an adventurous , ever-changing menu keep us coming back ."], "output": "['staff', ['knowledgeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Solid wine list , knowledgeable staff , friendly owners and an adventurous , ever-changing menu keep us coming back ."], "output": "['owners', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Solid wine list , knowledgeable staff , friendly owners and an adventurous , ever-changing menu keep us coming back ."], "output": "['menu', ['adventurous', 'ever-changing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people that work there are always so friendly you forget you are in New York sometimes ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['location', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['ambience', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['food', ['makes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["otherwise , good stuff for late nite eats ."], "output": "['stuff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["otherwise , good stuff for late nite eats ."], "output": "['eats', ['late']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dinner was ok , nothing I would have again ."], "output": "['dinner', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love and I know gourmet food by excellence !"], "output": "['gourmet', ['love', 'excellence']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I plan to come here again and look forward to trying their assortment of bruschetta , panini 's ... .."], "output": "['bruschetta', ['look']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I plan to come here again and look forward to trying their assortment of bruschetta , panini 's ... .."], "output": "['panini', ['look']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Two people in our party felt like something else , and Volare immediately obliged with two great dishes that were not in their regular menu ."], "output": "['dishes', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Two people in our party felt like something else , and Volare immediately obliged with two great dishes that were not in their regular menu ."], "output": "['menu', ['regular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He offers subpar service and has no personality ."], "output": "['service', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress remembers me and is very friendly , she knows what my regular is and that 's the fried mini buns with the condensed milk and the assorted fruits on beancurd ."], "output": "['waitress', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress remembers me and is very friendly , she knows what my regular is and that 's the fried mini buns with the condensed milk and the assorted fruits on beancurd ."], "output": "['fried', ['regular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Diner food at bistro prices is a bummer ... ."], "output": "['food', ['bummer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Diner food at bistro prices is a bummer ... ."], "output": "['prices', ['bummer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While we thoroughly enjoyed the food , it was annoying to scream across the table for conversation ."], "output": "['food', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time the sushi was outstanding , the second time it was a little bland ."], "output": "['sushi', ['outstanding', 'bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are large and the servers always surprise us with a different starter ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are large and the servers always surprise us with a different starter ."], "output": "['servers', ['surprise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are large and the servers always surprise us with a different starter ."], "output": "['starter', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious bagels , especially when right out of the oven ."], "output": "['bagels', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the food was hot tasty ."], "output": "['food', ['hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is one great place to eat pizza more out but not a good place for take-out pizza ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is one great place to eat pizza more out but not a good place for take-out pizza ."], "output": "['take-out', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our server was very helpful and friendly ."], "output": "['server', ['helpful', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try green curry with vegetables ."], "output": "['green', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First of all , this place is *not* romantic , as claimed by Citysearch 's editorial review ."], "output": "['place', ['*not*']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The second you walk through the heavy vault like door , with people anticipating your arrival you get the sense that you are going to have the dining ride of a lifetime ."], "output": "['door', ['heavy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Much more reasonably priced too !"], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not very tasty , the portioins were tiny even for such a high quality restaurant ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not very tasty , the portioins were tiny even for such a high quality restaurant ."], "output": "['portioins', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pad Thai is excellent here , as well ."], "output": "['Pad', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do not recommend lunch specials just because it tasts the same with other regular chinese restaurant ."], "output": "['lunch', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We parked on the block of Nina 's the place looked nice , with people obviously enjoying their pizzas ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We parked on the block of Nina 's the place looked nice , with people obviously enjoying their pizzas ."], "output": "['pizzas', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is o.k. , but not any better than what you get at a good neighborhood restaurant ."], "output": "['food', ['o.k.', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the pot-stickers which were great and a tempura dish that was great ."], "output": "['pot-stickers', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the pot-stickers which were great and a tempura dish that was great ."], "output": "['tempura', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I think the stuff was better than Disney ."], "output": "['stuff', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the $ 20 entree range is not overly expensive , in New York City , there is definitely better food in that range , and so Sapphire , despite it 's lovely atmosphere , will most likely not be a restaurant to which I will return ."], "output": "['food', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the $ 20 entree range is not overly expensive , in New York City , there is definitely better food in that range , and so Sapphire , despite it 's lovely atmosphere , will most likely not be a restaurant to which I will return ."], "output": "['atmosphere', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the $ 20 entree range is not overly expensive , in New York City , there is definitely better food in that range , and so Sapphire , despite it 's lovely atmosphere , will most likely not be a restaurant to which I will return ."], "output": "['entree', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Orsay , is without a doubt one of the best values for authentic French food in NYC ."], "output": "['French', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , their deliveries take for ever and the food is usually cold ."], "output": "['deliveries', ['for']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , their deliveries take for ever and the food is usually cold ."], "output": "['food', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is no nonsense ."], "output": "['staff', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And really large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a great Thai restaurant with a very friendly staff ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered the smoked salmon and roe appetizer and it was off flavor ."], "output": "['smoked', ['off']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went here for lunch a couple of weeks ago on a Saturday , and I was thoroughly impressed with the food ."], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the garlic shrimp , okra ( bindi ) , and anything with lamb ."], "output": "['garlic', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the garlic shrimp , okra ( bindi ) , and anything with lamb ."], "output": "['lamb', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the garlic shrimp , okra ( bindi ) , and anything with lamb ."], "output": "['okra', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu was impressive with selections ranging from a burger , to steak , to escargot ."], "output": "['menu', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu was impressive with selections ranging from a burger , to steak , to escargot ."], "output": "['burger', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu was impressive with selections ranging from a burger , to steak , to escargot ."], "output": "['steak', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu was impressive with selections ranging from a burger , to steak , to escargot ."], "output": "['escargot', ['impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and authentic ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good for casual dinner with jeans and sneakers ."], "output": "['casual', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyway , the food is good , the price is right and they have a decent wine list ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyway , the food is good , the price is right and they have a decent wine list ."], "output": "['price', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyway , the food is good , the price is right and they have a decent wine list ."], "output": "['wine', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices are higher to dine in and their chicken tikka marsala is quite good ."], "output": "['Prices', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices are higher to dine in and their chicken tikka marsala is quite good ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has many different styles of pizza and they are all amazing ."], "output": "['styles', ['different', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The photos of the restaurant in its web site are way better than the real look ."], "output": "['look', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['food', ['lousy', 'too', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['portions', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the coconut rice was good ."], "output": "['coconut', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pair you food with the excellent beers on tap or their well priced wine list ."], "output": "['beers', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pair you food with the excellent beers on tap or their well priced wine list ."], "output": "['wine', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pair you food with the excellent beers on tap or their well priced wine list ."], "output": "['priced', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['music', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['bottle', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of my co-workers stated that the food was amazing and wondered why they had n't heard about this place ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Metrazur has a beautiful spot overlooking the main terminal ."], "output": "['spot', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly staff that actually lets you enjoy your meal and the company you 're with ."], "output": "['staff', ['Friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly staff that actually lets you enjoy your meal and the company you 're with ."], "output": "['meal', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is rather small but we were lucky to get a table quickly ."], "output": "['table', ['quickly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['Quality', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['price', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['pork', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['fish', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['chicken', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['lamb', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables ."], "output": "['vegetables', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a little tight and on a cold day , the seating by the entranceway can be pretty drafty ."], "output": "['seating', ['drafty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a little tight and on a cold day , the seating by the entranceway can be pretty drafty ."], "output": "['place', ['tight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The appetizing is excellent - just as good as Zabars Barney Greengrass at a reasonable price ( if bought by the pound ) ."], "output": "['appetizing', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The appetizing is excellent - just as good as Zabars Barney Greengrass at a reasonable price ( if bought by the pound ) ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But , they were too big for the bun ."], "output": "['bun', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is fresh , delicious , and reasonably priced ."], "output": "['food', ['fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is fresh , delicious , and reasonably priced ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Raga stands out with an interesting fusion of French and Indian cooking ."], "output": "['fusion', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels are fabulous ."], "output": "['bagels', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh yes , and they lie on the phone , claiming they have seating in the garden , then of course the seats are not available ."], "output": "['seating', ['lie']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh yes , and they lie on the phone , claiming they have seating in the garden , then of course the seats are not available ."], "output": "['seats', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['place', ['relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['water', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Probably much busier for lunch , it 's seldom crowded for dinner ( too close to downtown ) ."], "output": "['lunch', ['busier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Probably much busier for lunch , it 's seldom crowded for dinner ( too close to downtown ) ."], "output": "['dinner', ['seldom']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their calzones are horrific , bad , vomit-inducing , YUCK ."], "output": "['calzones', ['horrific', 'bad', 'vomit-inducing', 'YUCK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It takes forever to get a drink and they almost always forget to bring something ( although they dont forget to charge you for it ."], "output": "['drink', ['forever']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place itself is beautiful the bar scene seems to be happening ."], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place itself is beautiful the bar scene seems to be happening ."], "output": "['bar', ['happening']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Saturday , Nov. 6th I had a group from work come in with about 35 people and the staff was amazing to accomodate us ."], "output": "['staff', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['spreads', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['beverage', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['bagels', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First , the waiter who served us neglected to fill us in on the specials , which I would have chosen had I known about them ."], "output": "['waiter', ['neglected']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , top the meal with a delicious and perfect slice of tiramisu ."], "output": "['tiramisu', ['delicious', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Check out the secret back room ."], "output": "['secret', ['Check']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's also attached to Angel 's Share , which is a cool , more romantic bar ..."], "output": "['bar', ['cool', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic food and they have REAL service , not just the rush you get sometimes when they try to push you out the door ."], "output": "['food', ['Authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic food and they have REAL service , not just the rush you get sometimes when they try to push you out the door ."], "output": "['service', ['REAL']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am amazed by the poor reviews- I find this place to be standout Italian in an area flooded with Italian- great prices , great atmosphere , good service and a wonderful wine list ."], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am amazed by the poor reviews- I find this place to be standout Italian in an area flooded with Italian- great prices , great atmosphere , good service and a wonderful wine list ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am amazed by the poor reviews- I find this place to be standout Italian in an area flooded with Italian- great prices , great atmosphere , good service and a wonderful wine list ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am amazed by the poor reviews- I find this place to be standout Italian in an area flooded with Italian- great prices , great atmosphere , good service and a wonderful wine list ."], "output": "['wine', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['room', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and reasonably priced ."], "output": "['food', ['great', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and reasonably priced ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would definitely recommend SEA if you like thai cuisine !"], "output": "['thai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years the host , Vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor ."], "output": "['crew', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years the host , Vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor ."], "output": "['host', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restuarant itself is not large , but seems to have several round tables to accomodate large groups hoping to save a buck to eat authentic Taiwanese ."], "output": "['round', ['several']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restuarant itself is not large , but seems to have several round tables to accomodate large groups hoping to save a buck to eat authentic Taiwanese ."], "output": "['Taiwanese', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['portion', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['french', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is the type of place to run into old friends and have a late , raucous dinner ."], "output": "['dinner', ['raucous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['dishes', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['specials', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['regular', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices are in line ."], "output": "['Prices', ['in']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of fresh tomato sauce , fresh mozz cheese , basil and the dough they make with imported flour , makes this is one of the better pizza 's in NY ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of fresh tomato sauce , fresh mozz cheese , basil and the dough they make with imported flour , makes this is one of the better pizza 's in NY ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of fresh tomato sauce , fresh mozz cheese , basil and the dough they make with imported flour , makes this is one of the better pizza 's in NY ."], "output": "['pizza', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of fresh tomato sauce , fresh mozz cheese , basil and the dough they make with imported flour , makes this is one of the better pizza 's in NY ."], "output": "['flour', ['imported']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is prepared quickly and efficiently ."], "output": "['food', ['quickly', 'efficiently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For all of you new to Indian food , try the Paneer Roll , it is a piece of heaven ."], "output": "['Paneer', ['heaven']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food looked very appetizing and delicious since it came on a variety of fancy plates ."], "output": "['food', ['appetizing', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food looked very appetizing and delicious since it came on a variety of fancy plates ."], "output": "['plates', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both the fresh mozzerella slices and the Plain Cheese slice are phenomenal ."], "output": "['fresh', ['fresh', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both the fresh mozzerella slices and the Plain Cheese slice are phenomenal ."], "output": "['Plain', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is terrible and overall , I would have to say avoid at all costs ."], "output": "['food', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's constantly open , catering to the Pakistani cabbies lined up on Crosby St. , so there 's more turnover with the food than you 'd expect ( i.e. , surprisingly fresh ) ."], "output": "['food', ['surprisingly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went at 6:00 PM specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous ."], "output": "['pre-theater', ['marvelous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went at 6:00 PM specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous ."], "output": "['roasted', ['marvelous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went at 6:00 PM specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous ."], "output": "['steak', ['marvelous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went at 6:00 PM specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous ."], "output": "['creme', ['marvelous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitstaff were attentive , polite and helpful - an impressive feat in such close quarters ."], "output": "['waitstaff', ['attentive', 'polite', 'helpful', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- the bread at the beginning is super tasty and makes you want more - the pizza is delicious and comes in personal sizes , however be warned that the Peter 's Favourite pizza with prosciutto and baby arugula is actually a margarite pizza with cold prosciutto and baby arugula on top , like a salad ."], "output": "['bread', ['super']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- the bread at the beginning is super tasty and makes you want more - the pizza is delicious and comes in personal sizes , however be warned that the Peter 's Favourite pizza with prosciutto and baby arugula is actually a margarite pizza with cold prosciutto and baby arugula on top , like a salad ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , the prices are high , but I felt it was worth it ."], "output": "['prices', ['high', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have always found that the waiters will go out of their way to be helpful , despite the fact they are often busy with lots of diners ."], "output": "['waiters', ['helpful', 'busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this is n't classical restaurant fare , the chef has given new life to an old cuisine with some really innovative and tasty dishes that are genuinely Indian without being heavy or same old restaurant burn-outs ."], "output": "['dishes', ['innovative', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this is n't classical restaurant fare , the chef has given new life to an old cuisine with some really innovative and tasty dishes that are genuinely Indian without being heavy or same old restaurant burn-outs ."], "output": "['cuisine', ['old']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this is n't classical restaurant fare , the chef has given new life to an old cuisine with some really innovative and tasty dishes that are genuinely Indian without being heavy or same old restaurant burn-outs ."], "output": "['Indian', ['genuinely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owner truly caters to all your needs ."], "output": "['owner', ['caters']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He takes real pride in his food and his business ."], "output": "['food', ['pride']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So if you want a nice , enjoyable meal at Montparnasse , go early for the pre-theater prix-fixe ."], "output": "['meal', ['nice', 'enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So if you want a nice , enjoyable meal at Montparnasse , go early for the pre-theater prix-fixe ."], "output": "['pre-theater', ['nice', 'enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years , it has always provided a pleasurable dining experience with quality food and wine ."], "output": "['food', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years , it has always provided a pleasurable dining experience with quality food and wine ."], "output": "['wine', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years , it has always provided a pleasurable dining experience with quality food and wine ."], "output": "['dining', ['pleasurable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The photobook menu was a cute touch , certainly helped my group and I pick the fried chicken , pork chop , and noodle dishes that we all ordered ."], "output": "['menu', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine better Indian food in all of the city ."], "output": "['Indian', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great romantic place for a date ( try to get the corner booth table for a little privacy and to sit close ! ) ."], "output": "['corner', ['privacy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great romantic place for a date ( try to get the corner booth table for a little privacy and to sit close ! ) ."], "output": "['place', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["very good breads as well ."], "output": "['breads', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were fans of the half-price Saturday night option until some inedible squid during a recent visit ."], "output": "['squid', ['inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were fans of the half-price Saturday night option until some inedible squid during a recent visit ."], "output": "['half-price', ['fans']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['Pizza', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['homemade', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a wonderful place on all stand points especially value ofr money ."], "output": "['value', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not exactly five star , but thats not really a big deal ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From beginning appetizers , the scallops were incredible , to the delicious chocolate souffle with rasberry mint sorbet , we were delighted by the taste sensations ."], "output": "['beginning', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From beginning appetizers , the scallops were incredible , to the delicious chocolate souffle with rasberry mint sorbet , we were delighted by the taste sensations ."], "output": "['scallops', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From beginning appetizers , the scallops were incredible , to the delicious chocolate souffle with rasberry mint sorbet , we were delighted by the taste sensations ."], "output": "['chocolate', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From beginning appetizers , the scallops were incredible , to the delicious chocolate souffle with rasberry mint sorbet , we were delighted by the taste sensations ."], "output": "['taste', ['delighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Consistently good Japanese Tapas ."], "output": "['Japanese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My goodness , everything from the fish to the rice to the seaweed was absolutely amazing ."], "output": "['fish', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My goodness , everything from the fish to the rice to the seaweed was absolutely amazing ."], "output": "['rice', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My goodness , everything from the fish to the rice to the seaweed was absolutely amazing ."], "output": "['seaweed', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['dishes', ['unique', 'tasty', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['lamb', ['tasty', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['sardines', ['tasty', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['large', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['pistachio', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is reliable and the price is moderate ."], "output": "['food', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is reliable and the price is moderate ."], "output": "['price', ['moderate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['ambiance', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['food', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['service', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The server was really cool and served us our food and drinks with a smile ."], "output": "['server', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['thai', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had to share my table with a loud group of kids and the service was rude an unattentive ."], "output": "['service', ['rude', 'unattentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had to share my table with a loud group of kids and the service was rude an unattentive ."], "output": "['table', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sauce on the pizza is sooo good with garlic and fresh tomatoes and they do n't skimp ."], "output": "['fresh', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sauce on the pizza is sooo good with garlic and fresh tomatoes and they do n't skimp ."], "output": "['sauce', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We recently decided to try this location , and to our delight , they have outdoor seating , perfect since I had my yorkie with me ."], "output": "['outdoor', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband had the mesclun , salmon , and ice cream and he enjoyed all 3 courses ."], "output": "['mesclun', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband had the mesclun , salmon , and ice cream and he enjoyed all 3 courses ."], "output": "['salmon', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband had the mesclun , salmon , and ice cream and he enjoyed all 3 courses ."], "output": "['ice', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband had the mesclun , salmon , and ice cream and he enjoyed all 3 courses ."], "output": "['courses', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is usually good but it certainly is n't a relaxing place to go ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is usually good but it certainly is n't a relaxing place to go ."], "output": "['place', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"], "output": "['staff', ['friendly', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"], "output": "['bistro', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"], "output": "['chilaquiles', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"], "output": "['jazz', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"], "output": "['live', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices were fantastic ."], "output": "['prices', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Still , any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house ..."], "output": "['bill', ['off-set']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The table service could have been a little more attentive but as someone who also works in the service industry , I understood they were busy ."], "output": "['table', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The table service could have been a little more attentive but as someone who also works in the service industry , I understood they were busy ."], "output": "['service', ['busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's not mind-blowing , but to me , thai food never is and never will be ."], "output": "['thai', ['mind-blowing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."], "output": "['pork', ['melt-in-your-mouth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."], "output": "['fat', ['longer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i 've been to sapphire twice and both times the food was fine , if not good ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is kinda nosiy and the tables are close together but it 's still a beautiful place to enjoy a nice dinner ."], "output": "['tables', ['close']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is kinda nosiy and the tables are close together but it 's still a beautiful place to enjoy a nice dinner ."], "output": "['dinner', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is kinda nosiy and the tables are close together but it 's still a beautiful place to enjoy a nice dinner ."], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love the fact that the pizza tastes so good and is so cheap ."], "output": "['pizza', ['love', 'good', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt , friendly and great ."], "output": "['Service', ['prompt', 'friendly', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have n't eat a lamb chop as delicious as that , the salads are really nice dressed with lemon and extra virgnin olive oil ."], "output": "['lamb', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have n't eat a lamb chop as delicious as that , the salads are really nice dressed with lemon and extra virgnin olive oil ."], "output": "['salads', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi was awful !"], "output": "['sushi', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get an excellent meal at most of the many Indian restaurants on nearby Lexington Avenue for the cost of one the dainty dishes here ."], "output": "['meal', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get an excellent meal at most of the many Indian restaurants on nearby Lexington Avenue for the cost of one the dainty dishes here ."], "output": "['dishes', ['dainty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pastrami sandwich was like buttah and with pickles and an icy cold beer to wash it down , it was a pleasurable experience ."], "output": "['Pastrami', ['pleasurable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pastrami sandwich was like buttah and with pickles and an icy cold beer to wash it down , it was a pleasurable experience ."], "output": "['beer', ['icy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The plain pizza was soggy and the creative wild mushroom ( third generation-Fornini ) pizza we had was drenched with truffle oil in the middle ( again making it soggy ) and nothingon the rest ."], "output": "['plain', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The plain pizza was soggy and the creative wild mushroom ( third generation-Fornini ) pizza we had was drenched with truffle oil in the middle ( again making it soggy ) and nothingon the rest ."], "output": "['truffle', ['drenched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The plain pizza was soggy and the creative wild mushroom ( third generation-Fornini ) pizza we had was drenched with truffle oil in the middle ( again making it soggy ) and nothingon the rest ."], "output": "['wild', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Late nite omelletes are not good here , there is no variety !"], "output": "['omelletes', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After all that , they complained to me about the small tip ."], "output": "['tip', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a great place to pick up a cheap lunch or dinner ."], "output": "['lunch', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['fish', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our waitress was sweet and accomodating , not overbearing ."], "output": "['waitress', ['sweet', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was really disappointed ant wanted to tell everyone not to go eat or even take out food from there ."], "output": "['food', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The website and rating makes this place look wonderful but in reality it was very disappointing ."], "output": "['place', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."], "output": "['food', ['ultra']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful ."], "output": "['outdoor', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["brick oven gallery is My pick for best pizza restaurant anywhere ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For many people , this may not seem like Aunthentic Thai food because most places in NYC arent quite authentic ."], "output": "['Thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh , do n't even let me start with how expensive the bills were !"], "output": "['bills', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['scallion', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['fried', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !"], "output": "['appetizers', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !"], "output": "['salads', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !"], "output": "['steak', ['watering']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !"], "output": "['pasta', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Besides having the table we had been promised given to other restaurant patrons twice before we were actually seated , we were served dishes we had n't ordered three times , received one of our orders 20 minutes after the rest of the table had been served ( and that order was undercooked ) , and charged $ 45 more than we should have been on our bill ."], "output": "['dishes', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is top notch ."], "output": "['Service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food now is inconsistent ."], "output": "['food', ['inconsistent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was pretty much full after our fondue appetizer ."], "output": "['fondue', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BE CAREFUL before you request extra spice ."], "output": "['spice', ['CAREFUL']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The octopus eaters were floored by the Octopus salad ."], "output": "['Octopus', ['floored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We thought that this place is using too much of MSG cooking in the foods ."], "output": "['MSG', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the Tom Kha soup was pathetic ."], "output": "['Tom', ['pathetic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I started out with a Bombay beer which was big enough for two ."], "output": "['Bombay', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['decor', ['vibrant', 'eye-pleasing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['dining', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was quick ."], "output": "['Service', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drawbacks : service is slow and they do n't toast !"], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sweet lassi was excellent as was the lamb chettinad and the garlic naan but the rasamalai was forgettable ."], "output": "['sweet', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sweet lassi was excellent as was the lamb chettinad and the garlic naan but the rasamalai was forgettable ."], "output": "['rasamalai', ['forgettable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We 've been following chef Lyle 's food around New York for 15 years and while remaining classic , his innovations with bistro fare have made us return and return ."], "output": "['bistro', ['innovations']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We 've been following chef Lyle 's food around New York for 15 years and while remaining classic , his innovations with bistro fare have made us return and return ."], "output": "['food', ['classic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best thing I tasted were the lambchops ."], "output": "['lambchops', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna and salmon are the best we 've ever had ."], "output": "['spicy', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna and salmon are the best we 've ever had ."], "output": "['salmon', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though its good seafood , the prices are too high ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though its good seafood , the prices are too high ."], "output": "['prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In addition , the food is very good and the prices are reasonable ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In addition , the food is very good and the prices are reasonable ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Upon entering , we were greeted by the owners , Steven and Frederick , who went out of their way to be more than gracious hosts ."], "output": "['hosts', ['gracious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Been going here since it opened have seen the quality value decrease considerably ."], "output": "['quality', ['decrease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Meat dishes now adorn the selections , although there 's still a large number of vegetarian-friendly choices ."], "output": "['vegetarian-friendly', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Reasonable prices ."], "output": "['prices', ['Reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they bring service up a notch by offerng complementary amuse bouche to all tables and gave us a small dessert for our celebration ."], "output": "['amuse', ['complementary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they bring service up a notch by offerng complementary amuse bouche to all tables and gave us a small dessert for our celebration ."], "output": "['dessert', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the crunchy tuna , it is to die for ."], "output": "['crunchy', ['Try', 'die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All in all , this midtown gem instantly became one of my favorite sushi restaurants in the city ."], "output": "['sushi', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a lot of fun with live entertainment and all kinds of Disney type special effects ."], "output": "['live', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is a lot of fun with live entertainment and all kinds of Disney type special effects ."], "output": "['special', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["if you 're looking for perfect traditional sushi , go here - if you 're looking for interesting combinations , try Sushi of gari 's ( east side ) ."], "output": "['sushi', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["if you 're looking for perfect traditional sushi , go here - if you 're looking for interesting combinations , try Sushi of gari 's ( east side ) ."], "output": "['Sushi', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Be careful of portions - they 're HUGE ."], "output": "['portions', ['HUGE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Steak Tartare is a great bet , they fix it for you at the table ."], "output": "['Steak', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great for large groups and celebrations - our SUPER HAPPY waiter was the entertainment of the evening ."], "output": "['waiter', ['SUPER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Plus , on Wednesday nights the house wine is unlimited !"], "output": "['house', ['unlimited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum servings here are a bit larger than I 'm used to ."], "output": "['dim', ['larger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , in the summer of 2003 , it seems the management has changed and the great big door has been replaced for a glass front ridding itself of the dark romantic getup ."], "output": "['management', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , in the summer of 2003 , it seems the management has changed and the great big door has been replaced for a glass front ridding itself of the dark romantic getup ."], "output": "['door', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We wo n't go to this place again for a good meal ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['Barbecued', ['moist']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['seasoning', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['texture', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['spice', ['overwhelmed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['herb', ['to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."], "output": "['sauce', ['to']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After dinner , take your date to the HUGE dance floor , probably one of the biggest you 'll see in NY ."], "output": "['dance', ['HUGE', 'biggest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Taj Mahal offeres gret value and great food ."], "output": "['value', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Taj Mahal offeres gret value and great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend and I recently had an early dinner at Artisanal and was satisfied with our experience ."], "output": "['dinner', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Outstanding Bagels , but you get what you pay for ."], "output": "['Bagels', ['Outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"], "output": "['crust', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"], "output": "['bread', ['freshly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found it on a cold night , the perfect spot to warm up ."], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."], "output": "['Service', ['warm', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."], "output": "['beef', ['exellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."], "output": "['pasta', ['fresh', 'well-prepared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."], "output": "['portion', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Italian food I ever had ( and being Italian , that means alot ) ."], "output": "['Italian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I will recommend Scopa to all of my friends for a place to go for wonderful Italian food ."], "output": "['Italian', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['meal', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['clubhouse', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bar , most gorgeous bartenders you 've ever seen ( specifically the blond lady ) ."], "output": "['bar', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bar , most gorgeous bartenders you 've ever seen ( specifically the blond lady ) ."], "output": "['bartenders', ['gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really loved the different and inovated touch that 's the cheff gives to the food ."], "output": "['food', ['different', 'inovated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They came out over cooked and the cheese was almost non existant ."], "output": "['cheese', ['non']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a terrific meal , and our server guided us toward a very nice wine in our price range , instead of allowing us to purchase a similarly priced wine that was n't as good ."], "output": "['meal', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a terrific meal , and our server guided us toward a very nice wine in our price range , instead of allowing us to purchase a similarly priced wine that was n't as good ."], "output": "['wine', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "['svc', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['drinks', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the main hit was the whole grilled fish ."], "output": "['whole', ['hit']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On a hot day it was fabulous to stop in and enjoy lunch ."], "output": "['lunch', ['fabulous', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious and beautifully prepared along with the friendly and personable service ."], "output": "['food', ['delicious', 'beautifully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious and beautifully prepared along with the friendly and personable service ."], "output": "['service', ['personable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza here is consistently good ."], "output": "['Pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a great tiem watching the shows and characters and ar food was just what we were looking for ."], "output": "['shows', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a great tiem watching the shows and characters and ar food was just what we were looking for ."], "output": "['food', ['looking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a great tiem watching the shows and characters and ar food was just what we were looking for ."], "output": "['characters', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Would n't recomend it for dinner !"], "output": "['dinner', ['recomend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sauce was watery and the food did n't have much flavor ."], "output": "['Sauce', ['watery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sauce was watery and the food did n't have much flavor ."], "output": "['food', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband and I enjoy Sangria ."], "output": "['Sangria', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We both opted for a pasta dish and they were served timely and fresh ."], "output": "['pasta', ['served', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We both opted for a pasta dish and they were served timely and fresh ."], "output": "['served', ['timely', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First the wrong bread came out with the appetizer , then when i tried to order a second glass of wine for my main course ..."], "output": "['bread', ['wrong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First the wrong bread came out with the appetizer , then when i tried to order a second glass of wine for my main course ..."], "output": "['glass', ['second']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['neighborhood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In an area sadly lacking in decent Thai food , this is one of the best spots ."], "output": "['Thai', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square ."], "output": "['reservations', ['delayed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square ."], "output": "['seating', ['difficulty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['dishes', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They do n't seem to place an emphasis on specials or fresh ingredients which to me is necessary for good thai ."], "output": "['ingredients', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They do n't seem to place an emphasis on specials or fresh ingredients which to me is necessary for good thai ."], "output": "['thai', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The noodle and rices dishes taste great ."], "output": "['noodle', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food 's as good as ever ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['crust', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['ingredients', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also a little more expensive than your average bagel place ."], "output": "['bagel', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the food was undercooked -the sauce watery , and the vegetables raw ."], "output": "['food', ['undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the food was undercooked -the sauce watery , and the vegetables raw ."], "output": "['vegetables', ['raw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the food was undercooked -the sauce watery , and the vegetables raw ."], "output": "['sauce', ['watery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the fried clams had just enough kick to them to make 'em worth eating ."], "output": "['fried', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sauces used are also not that exciting ."], "output": "['sauces', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."], "output": "['lunch', ['secret']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."], "output": "['appetizer', ['complimentary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."], "output": "['entree', ['complimentary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice was poor quality and was cooked so badly it was hard ."], "output": "['rice', ['poor', 'cooked', 'hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice was poor quality and was cooked so badly it was hard ."], "output": "['quality', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice was poor quality and was cooked so badly it was hard ."], "output": "['cooked', ['badly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['shrimp', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['antipasti', ['plentiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got the $ 10 10-piece dim sum combo , every bite of which was great ."], "output": "['dim', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is also very limited seating and there can be a substantial wait in getting food at peak times ."], "output": "['seating', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is also very limited seating and there can be a substantial wait in getting food at peak times ."], "output": "['wait', ['substantial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If it 's just a quick martini at the bar ( which I recommend Jeffery 's ) or a mind blowing Roast Chicken , go to Village !"], "output": "['martini', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If it 's just a quick martini at the bar ( which I recommend Jeffery 's ) or a mind blowing Roast Chicken , go to Village !"], "output": "['bar', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If it 's just a quick martini at the bar ( which I recommend Jeffery 's ) or a mind blowing Roast Chicken , go to Village !"], "output": "['Roast', ['mind']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a long wait for a table outside , but it was a little too hot in the sun anyway so our insde table was very nice ."], "output": "['table', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a long wait for a table outside , but it was a little too hot in the sun anyway so our insde table was very nice ."], "output": "['insde', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a long wait for a table outside , but it was a little too hot in the sun anyway so our insde table was very nice ."], "output": "['wait', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are wonderfully low ."], "output": "['prices', ['wonderfully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never been disappointed but their true strength lays in their amazingly delicious and cheap lunch specials ."], "output": "['lunch', ['delicious', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So much more than the usual bar food , go there to enjoy the menu while sampling one of their hand-crafted beers ."], "output": "['menu', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So much more than the usual bar food , go there to enjoy the menu while sampling one of their hand-crafted beers ."], "output": "['hand-crafted', ['hand-crafted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No free drink ."], "output": "['drink', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While they keep the capex to a minimum , they do put some cash into the bagels , because they among the best in the city ."], "output": "['bagels', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't waste money on decor ."], "output": "['decor', ['waste']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They also have a back garden open in the summer - cute and French with outdoor seating - what more could you ask for ?"], "output": "['back', ['cute', 'French']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never before eaten 40 pieces of relatively good nigiri ."], "output": "['nigiri', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Given the incredible architecture surrounding it , this place has no character ."], "output": "['architecture', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Given the incredible architecture surrounding it , this place has no character ."], "output": "['place', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the place is not a hotspot hangout , the drinks are unique and pack a lot of bang for the buck ."], "output": "['drinks', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have frequented 'ino for several years and the food remains excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their eggplant is so delicate , sweet tender !"], "output": "['eggplant', ['delicate', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Each bite of food at Kai was indeed delicious , fresh , and elegant ."], "output": "['food', ['delicious', 'fresh', 'elegant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["all the food was excellent - considering the quality of food in most moderately priced restaurants is mediocre this was slightly more pricey and well worth it ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["all the food was excellent - considering the quality of food in most moderately priced restaurants is mediocre this was slightly more pricey and well worth it ."], "output": "['quality', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["all the food was excellent - considering the quality of food in most moderately priced restaurants is mediocre this was slightly more pricey and well worth it ."], "output": "['priced', ['moderately']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend got the mushroom pizza which tasted better ."], "output": "['mushroom', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the cod with paella ( spicy and very filling , I 'm a big eater and could only eat half ) while my boyfriend had the classic fish and chips ( again , a big serving - at least 5 pieces of fish and a basketful of fries ) ."], "output": "['cod', ['spicy', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the cod with paella ( spicy and very filling , I 'm a big eater and could only eat half ) while my boyfriend had the classic fish and chips ( again , a big serving - at least 5 pieces of fish and a basketful of fries ) ."], "output": "['fish', ['classic', 'big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the cod with paella ( spicy and very filling , I 'm a big eater and could only eat half ) while my boyfriend had the classic fish and chips ( again , a big serving - at least 5 pieces of fish and a basketful of fries ) ."], "output": "['serving', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a shame that a nice , convenient place like the Pink Pony can be so ruined by lousy service ."], "output": "['place', ['convenient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a shame that a nice , convenient place like the Pink Pony can be so ruined by lousy service ."], "output": "['service', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['porcini', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['seafood', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the spicy wontons and the salt pepper shrimps ."], "output": "['spicy', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the spicy wontons and the salt pepper shrimps ."], "output": "['salt', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THE FOOD PORTIONS ARE REALLY LARGE ."], "output": "['FOOD', ['LARGE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fries are yummy ."], "output": "['fries', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly and informative staff , very attentive and prompt raw bar service ."], "output": "['staff', ['Friendly', 'informative', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly and informative staff , very attentive and prompt raw bar service ."], "output": "['bar', ['raw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Taiwanese food in NY !"], "output": "['Taiwanese', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is a great stop for great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the pastas are fantastic and the homemade lasagna is some of the best that I have had in the City ."], "output": "['pastas', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the pastas are fantastic and the homemade lasagna is some of the best that I have had in the City ."], "output": "['homemade', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the prices were way to high for what you get ."], "output": "['prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff ignored my friends and I the entire time we were there ."], "output": "['staff', ['ignored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yet paired with such rude service , would never recommend for anyone interested in carrying any kind of conversation while there ."], "output": "['service', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The in-house lady DJ on Saturday nights has outrageously good taste in music , and moreover , takes requests ."], "output": "['in-house', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine list , reasonably priced . -- Sara"], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine list , reasonably priced . -- Sara"], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hot dogs were cold in the middle and the buns were stale ."], "output": "['hot', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hot dogs were cold in the middle and the buns were stale ."], "output": "['buns', ['stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the food was excellent , it was n't cheap ( though not extremely expensive either ) ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Beef noodle soup is good as well ."], "output": "['Beef', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delivery service is great too ."], "output": "['Delivery', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food 's dazzling flavors overwhelm the palate , truly embracing the beauty of authentic Thai cuisine ."], "output": "['food', ['overwhelm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food 's dazzling flavors overwhelm the palate , truly embracing the beauty of authentic Thai cuisine ."], "output": "['Thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food 's dazzling flavors overwhelm the palate , truly embracing the beauty of authentic Thai cuisine ."], "output": "['flavors', ['overwhelm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recieved prompt service with a smile ."], "output": "['service', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They pray to their Food Gods to make them into a good pizza like VT 's ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was quiet and delightful ."], "output": "['place', ['quiet', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['food', ['diamond']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['food', ['delicious', 'homemade']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['herbs', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['tomatoes', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As much as I like the food there , I ca n't bring myself to go back ."], "output": "['food', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It looked like shredded cheese partly done - still in strips ."], "output": "['shredded', ['partly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices and ambience are especially great considering it 's in the West Village ."], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices and ambience are especially great considering it 's in the West Village ."], "output": "['ambience', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The soup is pretty good too ."], "output": "['soup', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is so easy to get a reservation at a top place in NYC with a week 's notice ."], "output": "['reservation', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never better enjoyed humble root vegetables or a mushroom consomme - and this chef accomplishes without fats ."], "output": "['root', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never better enjoyed humble root vegetables or a mushroom consomme - and this chef accomplishes without fats ."], "output": "['mushroom', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go to Roth 's try to be served by Mike , he is GREAT ! !"], "output": "['served', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["not the food , not the ambiance , not the service , I agree with the previous reviews you wait and wait , the wait staff are very rude and when you get in they are looking to get you right out ."], "output": "['wait', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I always get the Shabu-Shabu dinner and the beef is always fresh ."], "output": "['beef', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['pizza', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['cheese', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were very surprised by how good the food was on our first visit here on a Sunday night ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['comfort', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['decor', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['wait', ['horribly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['meals', ['horribly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['pho', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nha Trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables ."], "output": "['vegtables', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On the other hand , if you are not fooled easily , you will find hundreds of restaurants that will give you service and ambiance that is on par with Alain Ducasse , and food that will outshine in presentaion , taste , choice , quality and quantity ."], "output": "['service', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On the other hand , if you are not fooled easily , you will find hundreds of restaurants that will give you service and ambiance that is on par with Alain Ducasse , and food that will outshine in presentaion , taste , choice , quality and quantity ."], "output": "['ambiance', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On the other hand , if you are not fooled easily , you will find hundreds of restaurants that will give you service and ambiance that is on par with Alain Ducasse , and food that will outshine in presentaion , taste , choice , quality and quantity ."], "output": "['food', ['outshine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If I could rate the people this place would be off the charts - unfortunately - the pizza , sorry - not the best in NYC ."], "output": "['people', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If I could rate the people this place would be off the charts - unfortunately - the pizza , sorry - not the best in NYC ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing ! ! ! !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Having not been home in the last 2 years may skew this reviewer a bit , but the food was tasty and spicy sans the oil that comes floating along at similar venues ."], "output": "['food', ['tasty', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."], "output": "['sauces', ['ambitious', 'inedible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owner is very friendly and a great guy , go try his pizza , you 'll like it !"], "output": "['owner', ['friendly', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owner is very friendly and a great guy , go try his pizza , you 'll like it !"], "output": "['pizza', ['try', 'like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is great ! ! !"], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['food', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['wait-staff', ['arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['service', ['clumsy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['management', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['diner', ['glorified']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ."], "output": "['sea', ['heavenly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is a little scatty at times but all is forgiven when the food arrives ."], "output": "['service', ['scatty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is a little scatty at times but all is forgiven when the food arrives ."], "output": "['food', ['forgiven']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."], "output": "['bruscetta', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."], "output": "['salads', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."], "output": "['dishes', ['hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."], "output": "['mix', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."], "output": "['atmosphere', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."], "output": "['prices', ['down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pickles were great addition ."], "output": "['pickles', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If your favorite Chinese food is General Tao chicken , then this is NOT your place ."], "output": "['General', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You must try the shrimp appetizers ."], "output": "['shrimp', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['cuisine', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['service', ['attentive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The production is a symphony , alot of fun to experience.The food sublime for the most part ."], "output": "['food', ['sublime']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."], "output": "['Waiters', ['forget']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."], "output": "['food', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."], "output": "['drinks', ['forget']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."], "output": "['entree', ['trouble']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my wife and i have been going to nyc for years and would n't miss roxy , s food is expensive but it 's new york !"], "output": "['food', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['wines', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['decor', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ."], "output": "['bar', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ."], "output": "['pub', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While there are plenty of places to go for a good corned beef sandwich , Katz 's has a charm about it ."], "output": "['corned', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , looking at the table next to ours , we both sort of wished we had ordered pizza , which looked perfect"], "output": "['pizza', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Priced at upper intermediate range ."], "output": "['Priced', ['upper']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was adequate , but inexpertly sliced ."], "output": "['fish', ['adequate', 'inexpertly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you live in new york city , you 'll find better food at small restaurants outside of time square and spend half the amount ."], "output": "['food', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they did n't disappoint , service from the second i arrived at the door was extremely pleasant and attentive with almost one server per table ."], "output": "['service', ['pleasant', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do n't know who they think they are but they have no respect for the residents of the neighborhood ever since they opened their cabaret next door and blasts loud music till three in the morning every weekend during the summer ."], "output": "['music', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice to fish ration was also good -- they did n't try to overpack the rice ."], "output": "['rice', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selecion of wines at reasonable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selecion of wines at reasonable prices ."], "output": "['selecion', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selecion of wines at reasonable prices ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only positive was the wait staff , which was prompt , knowledgable , and likeable ."], "output": "['wait', ['positive', 'prompt', 'knowledgable', 'likeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I could n't reccommend their Godmother pizza any higher ."], "output": "['Godmother', ['reccommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am not a vegetarian but , almost all the dishes were great ."], "output": "['dishes', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was very impressed by this low-key upper eastsider and their authentically thai cuisine ! ! !"], "output": "['thai', ['authentically']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the location , the prices are very reasonable ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the location , the prices are very reasonable ."], "output": "['location', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is okay and the prices here are mediocre ."], "output": "['food', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is okay and the prices here are mediocre ."], "output": "['prices', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend 's food was also the complete opposite of what it 's supposed to taste like ( aND look like ) ."], "output": "['food', ['opposite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not a typical pizza joint , but good for a low key and fairly cheap nice sit down dinner ."], "output": "['dinner', ['cheap', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The corned beef was tender and melted in my mouth ."], "output": "['corned', ['tender', 'melted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best Chicken pad tai , I 've ever had ."], "output": "['Chicken', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 20 for all you can eat sushi can not be beaten ."], "output": "['sushi', ['can']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."], "output": "['ambiance', ['trendy', 'modern']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."], "output": "['location', ['prime']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warm and friendly in the winter and terrific outdoor seating in the warmer months ."], "output": "['outdoor', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ."], "output": "['ambience', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We got a little tipsy from the sake but is n't that what Saturday nights with the girlfriends are all about ?"], "output": "['sake', ['tipsy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always a nice crowd , but never loud ."], "output": "['crowd', ['nice', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My turkey burger was not cooked at all , my friends salmon was completely raw ."], "output": "['turkey', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My turkey burger was not cooked at all , my friends salmon was completely raw ."], "output": "['salmon', ['raw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is spotty , sometimes really friendly and sometimes barely there ."], "output": "['service', ['spotty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is minimalist and clean - nothing to distract or commend ."], "output": "['Decor', ['minimalist', 'clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["His drinks are very inventive , delicious and classy ."], "output": "['drinks', ['inventive', 'delicious', 'classy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awesome Pizza especially the Margheritta slice ."], "output": "['Pizza', ['Awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awesome Pizza especially the Margheritta slice ."], "output": "['Margheritta', ['Awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place , however , has a lot less pretension than Joya and the Thai food is still above average ."], "output": "['Thai', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try ordering from the regular menu , then you would not regret !"], "output": "['menu', ['regret']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ."], "output": "['lox', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ."], "output": "['mussels', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great ."], "output": "['Food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"], "output": "['meatballs', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"], "output": "['caprese', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"], "output": "['beans', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"], "output": "['meal', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is incredibly tiny ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did n't complain , I liked the atmosphere so much ."], "output": "['atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine is always good , the tapas are always yummy , especially with the warm pita bread ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine is always good , the tapas are always yummy , especially with the warm pita bread ."], "output": "['tapas', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine is always good , the tapas are always yummy , especially with the warm pita bread ."], "output": "['pita', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."], "output": "['waitresses', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."], "output": "['price', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."], "output": "['food', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to several places for Dim Sum and this has got to be the WORST ."], "output": "['Dim', ['WORST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The freshest , best variety , and the fastest delivery ."], "output": "['variety', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The freshest , best variety , and the fastest delivery ."], "output": "['delivery', ['fastest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['service', ['1st']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['food', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people in the restaurant were pretty obnoxious and loud ."], "output": "['people', ['obnoxious', 'loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sandwiches are dry , tasteless and way overpriced ."], "output": "['sandwiches', ['dry', 'tasteless', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Price no more than a Jersey deli but way better ."], "output": "['Price', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fried rice is really good too ."], "output": "['fried', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were well attended to by the enthusiastic staff especially the manager Tony Gaskin who made excellent suggestions for our menu selections ."], "output": "['staff', ['enthusiastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were well attended to by the enthusiastic staff especially the manager Tony Gaskin who made excellent suggestions for our menu selections ."], "output": "['manager', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Made my dining experience uncomfortable ."], "output": "['dining', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A very inviting restaurant , with friendly service ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe back garden sitting area is very pleasant , where you can see their personal herb garden ."], "output": "['back', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['drinks', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['wine', ['fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['priced', ['fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also had shared a house salad that was fresh ."], "output": "['house', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ceiling is amazing !"], "output": "['ceiling', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not a small feat for good french food in the area ."], "output": "['french', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The space is a bit too small for live music , so on jazz nights , it can be loud and cramped ."], "output": "['space', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The space is a bit too small for live music , so on jazz nights , it can be loud and cramped ."], "output": "['jazz', ['loud', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was average but tasty ."], "output": "['Food', ['average', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Big Wong gets big Ups for a fine establishment ."], "output": "['establishment', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['entree', ['bland', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['dessert', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was the friendliest that have seen in New York ."], "output": "['staff', ['friendliest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['food', ['decent', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['pepper', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pad thai , lad nar and various other dishes all look good on paper but , I 've had better thai food in less asthetically pleasing places ."], "output": "['Pad', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pad thai , lad nar and various other dishes all look good on paper but , I 've had better thai food in less asthetically pleasing places ."], "output": "['lad', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pad thai , lad nar and various other dishes all look good on paper but , I 've had better thai food in less asthetically pleasing places ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Pad thai , lad nar and various other dishes all look good on paper but , I 've had better thai food in less asthetically pleasing places ."], "output": "['thai', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food at a great price but do not go here on a cold day and sit by the front door ."], "output": "['food', ['Delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food at a great price but do not go here on a cold day and sit by the front door ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food at a great price but do not go here on a cold day and sit by the front door ."], "output": "['front', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , I 'm still impressed that the place even exists and the prices are quite decent but then again , its Chinatown ."], "output": "['prices', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "['open', ['charm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza was a little soggy ."], "output": "['Pizza', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food inludes famous scrumptious bombay style chaat such as bhelpuri , sevpuri and samosa chaats , as well as other great indian appetizers ."], "output": "['bhelpuri', ['scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food inludes famous scrumptious bombay style chaat such as bhelpuri , sevpuri and samosa chaats , as well as other great indian appetizers ."], "output": "['sevpuri', ['scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food inludes famous scrumptious bombay style chaat such as bhelpuri , sevpuri and samosa chaats , as well as other great indian appetizers ."], "output": "['samosa', ['scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food inludes famous scrumptious bombay style chaat such as bhelpuri , sevpuri and samosa chaats , as well as other great indian appetizers ."], "output": "['indian', ['scrumptious', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food inludes famous scrumptious bombay style chaat such as bhelpuri , sevpuri and samosa chaats , as well as other great indian appetizers ."], "output": "['bombay', ['famous', 'scrumptious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only problem is that the manager is a complete incompetent ."], "output": "['manager', ['incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is interesting and has many good values ."], "output": "['wine', ['interesting', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm still mad that i had to pay for lousy food ."], "output": "['food', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Definite go if you 're used to good Indian restaurant food from abroad ."], "output": "['Indian', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far , the best pizza in Manhattan ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent Thai food in cute - though a bit dank - little Nolita hangout , BUT service terrible ."], "output": "['Thai', ['Decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent Thai food in cute - though a bit dank - little Nolita hangout , BUT service terrible ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is mostly made from scratch , fresh and well prepared ."], "output": "['food', ['fresh', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Worse of all , $ 60 was erroneously added to our $ 80 bill ."], "output": "['bill', ['erroneously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["NO more reservations , expensive tips and annoying stuff ."], "output": "['reservations', ['NO']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["NO more reservations , expensive tips and annoying stuff ."], "output": "['tips', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["NO more reservations , expensive tips and annoying stuff ."], "output": "['stuff', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 20 gets you unlimited sushi of a very high quality -- I even took a friend here from Japan who said it was one of the best sushi places in the US that he has been to ."], "output": "['sushi', ['unlimited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 20 gets you unlimited sushi of a very high quality -- I even took a friend here from Japan who said it was one of the best sushi places in the US that he has been to ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 20 gets you unlimited sushi of a very high quality -- I even took a friend here from Japan who said it was one of the best sushi places in the US that he has been to ."], "output": "['quality', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sushi was n't anything spectacular for the price ."], "output": "['Sushi', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But they do n't have a toaster , which is strange ."], "output": "['toaster', ['strange']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , for good food i 'd recommend it , but not for a fun night out ."], "output": "['food', ['good', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu choices are similar but the taste lacked more flavor than it looked ."], "output": "['taste', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu choices are similar but the taste lacked more flavor than it looked ."], "output": "['menu', ['similar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu choices are similar but the taste lacked more flavor than it looked ."], "output": "['flavor', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A must for all the Dosa lovers ."], "output": "['Dosa', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are HUGE , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people ."], "output": "['portions', ['HUGE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The appetizers are just OK and the main courses were decidedly subpar ."], "output": "['appetizers', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The appetizers are just OK and the main courses were decidedly subpar ."], "output": "['main', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Someone else recommended the dessert - we also left that ."], "output": "['dessert', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The exotic food is beautifully presented and is a delight in delicious combinations ."], "output": "['exotic', ['beautifully', 'delight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is very attentive and we can almost always get a table ."], "output": "['staff', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the mediterranean salad , it is a true experience for your taste buds ! !"], "output": "['mediterranean', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["People are always friendly ."], "output": "['People', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['cream', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['coffee', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the entrees to the sides to the drinks , everything was creatively prepared yet still simple ."], "output": "['entrees', ['creatively', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the entrees to the sides to the drinks , everything was creatively prepared yet still simple ."], "output": "['sides', ['creatively', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the entrees to the sides to the drinks , everything was creatively prepared yet still simple ."], "output": "['drinks', ['creatively', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt and courteous ."], "output": "['Service', ['prompt', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was not above ordinary and the beef version had cheap ( undercooked ) beef ."], "output": "['beef', ['cheap', 'undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was not above ordinary and the beef version had cheap ( undercooked ) beef ."], "output": "['beef', ['cheap', 'undercooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chance is a small cozy restaurant , with a romantic feel to it , the decor is great ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was nice and fresh , but I ca n't give it high scores on being authentic thai ."], "output": "['thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only wine and beer are served , but the house varities are actually quite good ."], "output": "['house', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh , and the complimentary pudding dessert was just enough - yummy !"], "output": "['pudding', ['enough', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["we split a tasty vegetable samosa and the malai tikka wrap ."], "output": "['vegetable', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["we split a tasty vegetable samosa and the malai tikka wrap ."], "output": "['malai', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Knowledge of the chef and the waitress are below average ."], "output": "['chef', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Knowledge of the chef and the waitress are below average ."], "output": "['waitress', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent wine selection too ."], "output": "['wine', ['Decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It saves walking in and waiting for a table in the often noisy , crowded bar at dinnertime ."], "output": "['bar', ['noisy', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It saves walking in and waiting for a table in the often noisy , crowded bar at dinnertime ."], "output": "['waiting', ['saves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to say I have never had a disapointing meal here ."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "['goat', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "['panchetta', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "['raddichio', ['bitter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Disappointing food , lousy service ."], "output": "['food', ['Disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Disappointing food , lousy service ."], "output": "['service', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want a casual neighborhood bistro that has great food and excellent service , this is the place ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want a casual neighborhood bistro that has great food and excellent service , this is the place ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great place to go for a drink too because they have 100 kinds of beer ."], "output": "['drink', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over price , and small portions ."], "output": "['price', ['Over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over price , and small portions ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Meanwhile , the bartender continued to pour champagne from his reserve after we had finished our bottle and we enjoyed an amuse of turnip soup with pureed basil , gratis ."], "output": "['turnip', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['service', ['impecable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BUt their best dish is thh Thai spiced curry noodles with shrimp - a dish that would cost $ 23.95 is most places , but it is $ 16 here ."], "output": "['dish', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BUt their best dish is thh Thai spiced curry noodles with shrimp - a dish that would cost $ 23.95 is most places , but it is $ 16 here ."], "output": "['Thai', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["BUt their best dish is thh Thai spiced curry noodles with shrimp - a dish that would cost $ 23.95 is most places , but it is $ 16 here ."], "output": "['dish', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , dark atmosphere and the music is a nice touch ."], "output": "['atmosphere', ['Good', 'dark']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , dark atmosphere and the music is a nice touch ."], "output": "['music', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said the portions were very small , but if my main course was good to eat the portion would 've been fine for me ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said the portions were very small , but if my main course was good to eat the portion would 've been fine for me ."], "output": "['main', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the thai is definitely not great -- bland and undistinguished ."], "output": "['thai', ['not', 'bland', 'undistinguished']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great for groups , great for a date , great for early brunch or a nightcap ."], "output": "['brunch', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great for groups , great for a date , great for early brunch or a nightcap ."], "output": "['nightcap', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our friendly server made great food suggestions and also sent both the sommelier and the fromager to the table to help suggest different pairings for wine and cheese ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our friendly server made great food suggestions and also sent both the sommelier and the fromager to the table to help suggest different pairings for wine and cheese ."], "output": "['server', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Because we did n't have a reservation , we could only sit in the back garden , but it was great , secluded and perfect in nice weather ."], "output": "['back', ['great', 'secluded', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Stuffing yourself with Japanese food is a rare thing ."], "output": "['Japanese', ['rare']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the food was good ( certainly no Il Mulino ) the service was horrendous ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the food was good ( certainly no Il Mulino ) the service was horrendous ."], "output": "['service', ['horrendous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not what one would expect from a joint in this price category ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not what one would expect from a joint in this price category ."], "output": "['price', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our family never expected such incredible entertainment in a restaurant ."], "output": "['entertainment', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i would recommend reservations on weekends though ."], "output": "['reservations', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza for lunch place ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very expensive ( we spent $ 160 for lunch for two ) but extremely tasty ."], "output": "['food', ['expensive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were a group of 8 and well seved ."], "output": "['seved', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I LOVE their spicy scallop roll , and my boyfriend consistently gets the sesame chicken ."], "output": "['scallop', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best dish is nori-wrapped tuna ."], "output": "['nori-wrapped', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best dish is nori-wrapped tuna ."], "output": "['dish', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was absolutely amazing ! !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An excellent alternative to fast food joints and ordering in but , the food was slightly disappointing ."], "output": "['food', ['excellent', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mermaid Inn is an overall good restaurant with really good seafood ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is also attentive and friendly ."], "output": "['staff', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The all you can eat deal is truly amazing here ."], "output": "['all', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["That is a problem since we paid about 20 bucks a dish , and had to order 5 dishes to get a decent taste ."], "output": "['taste', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They were such a rip-off ( $ 8.95 for four small meat patties in steamed buns ) and not worth trying ."], "output": "['meat', ['rip-off', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of the pizzas are terrific and the price is even better !"], "output": "['pizzas', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of the pizzas are terrific and the price is even better !"], "output": "['price', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is about FOOD and Ambiance , and imagine how dreadful it will be it we only had to listen to an idle engine ."], "output": "['FOOD', ['dreadful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is about FOOD and Ambiance , and imagine how dreadful it will be it we only had to listen to an idle engine ."], "output": "['Ambiance', ['dreadful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good too ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dining room is quietly elegant with no music to shout over -- how refreshing !"], "output": "['dining', ['elegant', 'refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly , this is not the place for gigantic pieces of fish overflowing the plate ( and thank goodness , in my opinion ) but for simple , elegant sushi there is no better place in New York or anywhere in the US ."], "output": "['sushi', ['simple', 'elegant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu seemed to have a wide variety of dishes for seafood lovers and interesting ways of preparing them ."], "output": "['menu', ['wide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu seemed to have a wide variety of dishes for seafood lovers and interesting ways of preparing them ."], "output": "['variety', ['wide']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu seemed to have a wide variety of dishes for seafood lovers and interesting ways of preparing them ."], "output": "['seafood', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The white bean brushetta to start was incredible and the pasta was phenomenal ."], "output": "['white', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The white bean brushetta to start was incredible and the pasta was phenomenal ."], "output": "['pasta', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rest of the menu is limited by everything is good eats ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rest of the menu is limited by everything is good eats ."], "output": "['eats', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great lay out and awesome service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great lay out and awesome service ."], "output": "['lay', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great lay out and awesome service ."], "output": "['service', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We walked in on a Wednesday night and were seated promptly ."], "output": "['seated', ['promptly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very freindly , they make it feel like you 're eating in a freindly little european town ."], "output": "['wait', ['freindly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitstaff are all very busy , it 's not outstanding service , but I 've never been dealt with rudely ."], "output": "['waitstaff', ['busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitstaff are all very busy , it 's not outstanding service , but I 've never been dealt with rudely ."], "output": "['service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The flavors are great , and the menu is extensive ."], "output": "['flavors', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The flavors are great , and the menu is extensive ."], "output": "['menu', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , the service was so attentive and personable , and how about that ambience !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , the service was so attentive and personable , and how about that ambience !"], "output": "['service', ['attentive', 'personable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the best interior I have seen anywhere in the northside of W'burg , and will impress whoever you bring there ."], "output": "['interior', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the best interior I have seen anywhere in the northside of W'burg , and will impress whoever you bring there ."], "output": "['place', ['impress']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food has been consistant for years and it never lets you down ."], "output": "['food', ['consistant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the variety of the sashimi plate to be satisfying - fresh and yummy ."], "output": "['sashimi', ['satisfying', 'fresh', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And forget what you read under me , the atmosphere is n't that bad either ."], "output": "['atmosphere', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We could n't carry our conversation as we were routinely interrupted by waitress and servants asking us to order and hinting that we 're taking too much time -- amazing , we just sat down ."], "output": "['waitress', ['interrupted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We could n't carry our conversation as we were routinely interrupted by waitress and servants asking us to order and hinting that we 're taking too much time -- amazing , we just sat down ."], "output": "['servants', ['interrupted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a place for people who pay a lot for mediocre food , noise and a chance to be with their fellow bridge and tunnel folks ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a place for people who pay a lot for mediocre food , noise and a chance to be with their fellow bridge and tunnel folks ."], "output": "['noise', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After complaining about the chicken dish , the manager came over to tell us that , no one had ever complained before , and that we just did n't know what the dish was supposed to taste like ."], "output": "['chicken', ['complaining']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was spicy and delicious ."], "output": "['food', ['spicy', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bartender was unable to tear himself away from friends at bar ."], "output": "['Bartender', ['unable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Anyways , if you 're in the neighborhood to eat good food , I would n't waste my time trying to find something , rather go across the street to Tamari ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dahkin also offers prix fixe lunch and buffet ."], "output": "['prix', ['prix']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dahkin also offers prix fixe lunch and buffet ."], "output": "['buffet', ['prix']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the place could be a little more eye catching and roomier , at the same time , it does n't really matter ."], "output": "['place', ['eye']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This was my frist time at Cafe St. Bart 's and I must say how delicous the food and the service was ."], "output": "['food', ['delicous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This was my frist time at Cafe St. Bart 's and I must say how delicous the food and the service was ."], "output": "['service', ['delicous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One would think we 'd get an apology or complimentary drinks - instead , we got a snobby waiter would n't even take our order for 15 minutes and gave us lip when we asked him to do so ."], "output": "['waiter', ['snobby']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We actually gave 10 % tip ( which we have never done despite mediocre food and service ) , because we felt totally ripped off ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We actually gave 10 % tip ( which we have never done despite mediocre food and service ) , because we felt totally ripped off ."], "output": "['service', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were looking forward to nice glass of Sangria when we arrived ."], "output": "['glass', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend requesting a table by the window ."], "output": "['table', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While we enjoyed the food , we were highly disappointed by the poor service ( waiter was not quite competent and SLOW service ) and lack of remorse ."], "output": "['food', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While we enjoyed the food , we were highly disappointed by the poor service ( waiter was not quite competent and SLOW service ) and lack of remorse ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While we enjoyed the food , we were highly disappointed by the poor service ( waiter was not quite competent and SLOW service ) and lack of remorse ."], "output": "['waiter', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While we enjoyed the food , we were highly disappointed by the poor service ( waiter was not quite competent and SLOW service ) and lack of remorse ."], "output": "['service', ['SLOW']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service , however , was a bright flower in a garden ."], "output": "['service', ['bright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We 've been to Grocery three times and not once has an item on the menu disappointed ."], "output": "['menu', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A touch more jalapeno heat for contrast and it would have been very good indeed ."], "output": "['jalapeno', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tried the pad see ew on the recommendation of the last reviewer since it 's one of my favorite dishes ."], "output": "['pad', ['Tried', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tried the pad see ew on the recommendation of the last reviewer since it 's one of my favorite dishes ."], "output": "['dishes', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['back', ['worth', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['music', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location is perfect ."], "output": "['location', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['Guacamole+shrimp', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['filet', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['filet', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lunch special is an absolute steal ."], "output": "['lunch', ['steal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nothing fancy but really good food with pretty reasonable price ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nothing fancy but really good food with pretty reasonable price ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['The', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['cheeseburger', ['huge', 'delictable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['service', ['professional', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While I quite liked the food and the ambience , I 'm not quite sure if it they really deserve it the Michelin rating they have displayed so prooudly in the window ."], "output": "['food', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While I quite liked the food and the ambience , I 'm not quite sure if it they really deserve it the Michelin rating they have displayed so prooudly in the window ."], "output": "['ambience', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not worth the prices ."], "output": "['prices', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the moment you enter till the moment you walk out the friendly and helpful staff was was just Fantastic ."], "output": "['staff', ['friendly', 'helpful', 'Fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["She gets 10 for her excellent service and advice ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "['meal', ['enjoy', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quality of food at this restaurant accompanied by fantastic live jazz makes this place a perfect 10 !"], "output": "['quality', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quality of food at this restaurant accompanied by fantastic live jazz makes this place a perfect 10 !"], "output": "['live', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have eaten at Saul , many times , the food is always consistently , outrageously good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If your visiting , you 'll enjoy the ambiance and the fact that it 's in Time Sq ..."], "output": "['ambiance', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sandwiches tho pricey are over stuffed - can serve 2 persons easily thus cost effective !"], "output": "['sandwiches', ['pricey', 'stuffed', 'cost']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service and food is what any one would expect when spending that type of money ."], "output": "['Service', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service and food is what any one would expect when spending that type of money ."], "output": "['food', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["LOVE the atmosphere - felt like I was in Paris ."], "output": "['atmosphere', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Every course was better than the next ."], "output": "['course', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is incredibly helpful and attentive ."], "output": "['staff', ['helpful', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Apparently , the good cook works then ."], "output": "['cook', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Yellowtail was particularly good as well ."], "output": "['Yellowtail', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ate clams oreganta and spectacular salad with perfectly marinated cucumbers and tomatoes with lots of shrimp and basil ."], "output": "['salad', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor ."], "output": "['menu', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor ."], "output": "['portions', ['smaller']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor ."], "output": "['lentil', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor ."], "output": "['basmati', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor ."], "output": "['flavor', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['cigar', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very affordable and excellent ambient !"], "output": "['ambient', ['affordable', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["More important , the sushi rivals the best in Tokyo ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bill a little high , but worth it ."], "output": "['Bill', ['high', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Why do people rave about the ambience ."], "output": "['ambience', ['rave']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fluke sashimi drizzled with jalapeno-lime olive oil , the fruit of the oil nicely highlighting the fish 's sweetness ."], "output": "['fruit', ['nicely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fluke sashimi drizzled with jalapeno-lime olive oil , the fruit of the oil nicely highlighting the fish 's sweetness ."], "output": "['fish', ['sweetness']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great sushi experience ."], "output": "['sushi', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you 're looking for a great meal at a decent price , go to Del Frisco 's !"], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you 're looking for a great meal at a decent price , go to Del Frisco 's !"], "output": "['price', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My steak au poivre was one of the worst I 've had ."], "output": "['steak', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread ."], "output": "['congee', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread ."], "output": "['bread', ['delicious', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread ."], "output": "['donut', ['delicious', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food-quality and service overcompensate ."], "output": "['candle-light', ['closely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food-quality and service overcompensate ."], "output": "['food-quality', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food-quality and service overcompensate ."], "output": "['service', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food-quality and service overcompensate ."], "output": "['tables', ['closely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious and the waiter was incredibly helpful and attentive ( considering we were the only ones there for the first hour ) ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious and the waiter was incredibly helpful and attentive ( considering we were the only ones there for the first hour ) ."], "output": "['waiter', ['helpful', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['caviar', ['spectacular', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['waitstaff', ['hospitable', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Perhaps this food is considered extreme to an Upper East Side resident , but for the rest of us who 've actually eaten ethnic food , this is simply dull ."], "output": "['food', ['extreme']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was real empty but that was because this was the first Sunday they ever opened ."], "output": "['place', ['empty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['food', ['lot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['place', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['Ambience', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['service', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was excellent , and the AC worked very well too ( thank God , it was hot ! ) ."], "output": "['Service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was excellent , and the AC worked very well too ( thank God , it was hot ! ) ."], "output": "['AC', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You get the sense that the people there care about their restaurant and about your experience and that is very nice ."], "output": "['people', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both are delicious , the cooks are friendly and are willing to take a moment and speak to you and shake your hand ."], "output": "['cooks', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend ordered some of their special sushi rolls which had excellent presentation and tasted great !"], "output": "['sushi', ['special', 'excellent', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although be warned their dinner menu to sit and take out prices are different ."], "output": "['prices', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although be warned their dinner menu to sit and take out prices are different ."], "output": "['dinner', ['warned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['place', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my picks are : - Scallion Pancake ( fried with vegetable juice , very special and tasty ) - Guizhou Chicken - Shredded Squid Family Style ( one of my personal favorites ) - Sichuan Spicy Soft Shell Crab - Shuizhu Fish ( this one is for hardcore Sichuan food fans , I would n't recommend to my American friends as it 's very spicy ."], "output": "['Scallion', ['special', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my picks are : - Scallion Pancake ( fried with vegetable juice , very special and tasty ) - Guizhou Chicken - Shredded Squid Family Style ( one of my personal favorites ) - Sichuan Spicy Soft Shell Crab - Shuizhu Fish ( this one is for hardcore Sichuan food fans , I would n't recommend to my American friends as it 's very spicy ."], "output": "['Shredded', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["my picks are : - Scallion Pancake ( fried with vegetable juice , very special and tasty ) - Guizhou Chicken - Shredded Squid Family Style ( one of my personal favorites ) - Sichuan Spicy Soft Shell Crab - Shuizhu Fish ( this one is for hardcore Sichuan food fans , I would n't recommend to my American friends as it 's very spicy ."], "output": "['Shuizhu', ['spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They smell like they stuff them with old canned vegetables like the spinach mushroom calzone ."], "output": "['spinach', ['old']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They smell like they stuff them with old canned vegetables like the spinach mushroom calzone ."], "output": "['canned', ['old']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To celebrate a birthday , three of us went to Mare anticipating great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a great deal for 6 Blue Point oysters and a beer or glass of wine for $ 8 !"], "output": "['Blue', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a great deal for 6 Blue Point oysters and a beer or glass of wine for $ 8 !"], "output": "['beer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a great deal for 6 Blue Point oysters and a beer or glass of wine for $ 8 !"], "output": "['glass', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really liked the noodle dishes at Rice Avenue compared to their Green Curry dish ."], "output": "['noodle', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But for whatever reason , prices are about twice as high ."], "output": "['prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['service', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['food', ['overated', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great atmoshere and worth every bit ."], "output": "['atmoshere', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['spicy', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['rock', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['appetizer', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was knowledgeable and full of personality ."], "output": "['staff', ['knowledgeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great staff ."], "output": "['staff', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only complaint would be that at an average cost of $ 12- $ 15 per meal , I 'd like not to have to worry about finding a seat !"], "output": "['cost', ['complaint']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only complaint would be that at an average cost of $ 12- $ 15 per meal , I 'd like not to have to worry about finding a seat !"], "output": "['seat', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To finish off such a delightful dinner experience you must have dessert , especially the White Chocolate Bread Pudding with Gelato and hot chocolate ."], "output": "['dinner', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The banana tower is an amazing dessert as well ."], "output": "['banana', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The banana tower is an amazing dessert as well ."], "output": "['dessert', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['atmosphere', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['dishes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['service', ['good', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool place to hang with your friends for a couple of healthy drinks and desserts ."], "output": "['place', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool place to hang with your friends for a couple of healthy drinks and desserts ."], "output": "['drinks', ['healthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool place to hang with your friends for a couple of healthy drinks and desserts ."], "output": "['desserts', ['healthy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great vibe , lots of people ."], "output": "['vibe', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Mamoun 's food as well , but side by side , Kati Rolls just produce tastier food hands down ."], "output": "['food', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Mamoun 's food as well , but side by side , Kati Rolls just produce tastier food hands down ."], "output": "['food', ['tastier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is a bit slow , but harkens back to my years growing up in Napoli , Italy where things are not rushed and when you sit down for dinner the table is yours all night ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food and the prices are very reasonable ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food and the prices are very reasonable ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list is not huge but def well selected ."], "output": "['Wine', ['huge', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['bar', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['beer', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the seasonal , and always delicious , specials ."], "output": "['specials', ['try', 'seasonal', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is authentic and relaxing and we have always received attentive and prompt service ."], "output": "['ambience', ['authentic', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is authentic and relaxing and we have always received attentive and prompt service ."], "output": "['service', ['attentive', 'prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fresh , authentic , french cuisine in substantial portions ."], "output": "['french', ['Fresh', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fresh , authentic , french cuisine in substantial portions ."], "output": "['portions', ['substantial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drinks got screwed up , she acted put upon ."], "output": "['Drinks', ['screwed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The one vegetarian entree ( Abby 's treasure ) was actually quite a surprise - it was delicious and had wintermelon covering an assortment of fresh mushrooms and vegetables ."], "output": "['vegetarian', ['surprise', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The one vegetarian entree ( Abby 's treasure ) was actually quite a surprise - it was delicious and had wintermelon covering an assortment of fresh mushrooms and vegetables ."], "output": "['Abby', ['surprise', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The one vegetarian entree ( Abby 's treasure ) was actually quite a surprise - it was delicious and had wintermelon covering an assortment of fresh mushrooms and vegetables ."], "output": "['assortment', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the pizza is way to expensive ."], "output": "['pizza', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the staff is also young , energeic and hot ! ! ! !"], "output": "['staff', ['young', 'energeic', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even better , they know how to cook French classics like Steak au Poivre and Onglet without burning it to death or overcooking it ."], "output": "['Steak', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even better , they know how to cook French classics like Steak au Poivre and Onglet without burning it to death or overcooking it ."], "output": "['Onglet', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was decent , but not as smooth as I would expect from a place with these prices and reputation ."], "output": "['Service', ['decent', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a wonderful meal at Naples 45 a month ago on a visit to NYC ."], "output": "['meal', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good drink ."], "output": "['drink', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom ."], "output": "['spinach', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom ."], "output": "['service', ['friendly', 'nonsense']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom ."], "output": "['bathroom', ['clean', 'funky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom ."], "output": "['massamman', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My chow fun and chow see was really bland and oily ."], "output": "['chow', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though I made the reservation at 3pm for the same night through Dinnerbroker , we were seated at a table with one of the best view !"], "output": "['table', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did n't take a look at the rest menu , but the oysters were fantastic ."], "output": "['oysters', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The grilled cheese at home afterwards was better . ! !"], "output": "['grilled', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The red sliding doors may be unique but they do not block off the cold air from the outside ."], "output": "['doors', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['service', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is expensive , but worth every bite ."], "output": "['food', ['expensive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['good', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In summer-eat outside on a terrace ( another great feature of Suan ) ! ! !"], "output": "['terrace', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's the perfect restaurant for NY life style , it got cool design , awesome drinks and food and lot 's of good looking people eating and hanging at the pink bar ..."], "output": "['design', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's the perfect restaurant for NY life style , it got cool design , awesome drinks and food and lot 's of good looking people eating and hanging at the pink bar ..."], "output": "['drinks', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's the perfect restaurant for NY life style , it got cool design , awesome drinks and food and lot 's of good looking people eating and hanging at the pink bar ..."], "output": "['food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's the perfect restaurant for NY life style , it got cool design , awesome drinks and food and lot 's of good looking people eating and hanging at the pink bar ..."], "output": "['bar', ['pink']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you love seafood , you would love this place !"], "output": "['seafood', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you love seafood , you would love this place !"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , fast service ."], "output": "['service', ['Good', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They charge different prices all the time ."], "output": "['prices', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was in love with Pongsri on 48th , but compared to Suan it is slow in service and overpriced ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friends and I experienced amazing cheese and a delicious , new summer menu at Artisanal last night ."], "output": "['cheese', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friends and I experienced amazing cheese and a delicious , new summer menu at Artisanal last night ."], "output": "['menu', ['delicious', 'new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's charmingly small and that leads to an atmoshere that is extremely cozy and romantic , even ."], "output": "['atmoshere', ['cozy', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In terms of the food itself -- nothing special , we limited ourselves to several appetizers ."], "output": "['food', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In terms of the food itself -- nothing special , we limited ourselves to several appetizers ."], "output": "['appetizers', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the Jazz bands on Fri and Sat ."], "output": "['Jazz', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was ok ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't expect to sit down inside though , there are only a few tables and they are always full ."], "output": "['tables', ['few', 'full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is accomodating , the ambiance is exciting and yet relaxed , and the food is out of this world !"], "output": "['staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is accomodating , the ambiance is exciting and yet relaxed , and the food is out of this world !"], "output": "['ambiance', ['exciting', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is accomodating , the ambiance is exciting and yet relaxed , and the food is out of this world !"], "output": "['food', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['halibut', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['steak', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['service', ['top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The manager claimed that he could not compensate us for anything on the bill which just shows the lack of sophistication from the entire group ."], "output": "['manager', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it 's the only place you can get yummy authentic japanese comfort food ."], "output": "['japanese', ['yummy', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We took advanatage of the half price sushi deal on saturday so it was well worth it ."], "output": "['half', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff are attentive , and have smiles on their faces ."], "output": "['staff', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No dress codes , no attitudes , plenty of comfort companionship , a great place to relax in an always busy Midtown ."], "output": "['dress', ['No']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No dress codes , no attitudes , plenty of comfort companionship , a great place to relax in an always busy Midtown ."], "output": "['attitudes', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No dress codes , no attitudes , plenty of comfort companionship , a great place to relax in an always busy Midtown ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Largest and freshest pieces of sushi , and delicious !"], "output": "['pieces', ['Largest', 'freshest', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even the pasta is delicious here ( a rarity in New York pizza restaurants ) ."], "output": "['pasta', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but when we looked at the menu , there were n't a lot of choices , most of them were dumplings in the appetizer section ."], "output": "['menu', ['were']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Maybe I say so because it looked promising for people who like artery-clogging jewish deli food , but turns out to be poorly run and awful ."], "output": "['jewish', ['poorly', 'awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['Wait', ['unappreciative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['pie', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ingredients taste fresher , the crust is thinner and crispier , the slice is less oily , and it 's never burnt like it occasionally is at Joe 's ."], "output": "['ingredients', ['fresher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ingredients taste fresher , the crust is thinner and crispier , the slice is less oily , and it 's never burnt like it occasionally is at Joe 's ."], "output": "['crust', ['thinner', 'crispier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ingredients taste fresher , the crust is thinner and crispier , the slice is less oily , and it 's never burnt like it occasionally is at Joe 's ."], "output": "['slice', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish is so very fresh ."], "output": "['Fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices were CHEAP compared to the quality of service and food ."], "output": "['prices', ['CHEAP']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Top spot in town for Vietnamese classics , better than places that cost a lot more ."], "output": "['Vietnamese', ['Top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["less wait time for me !"], "output": "['wait', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is really blah , and not at all hip or happening ."], "output": "['decor', ['blah', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I come from a family of pizzeria owners , and I 'm almost ashamed to say that the pizza in Fornino 's blows my families receipies away ."], "output": "['pizza', ['ashamed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['cream', ['huge', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['lobster', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['spaghetti', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was authentic ."], "output": "['food', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum is delectable while the prices are quite easy on the wallet ."], "output": "['dim', ['delectable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum is delectable while the prices are quite easy on the wallet ."], "output": "['prices', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I only tried a simple dish of spinach ravioli in a light oil and garlic sauce , but it actually faired better than most NYC Italian joints I 've tried similar dishes at ."], "output": "['spinach', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The worst excuse for Japanese food I 've ever encountered ."], "output": "['Japanese', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered a Chicken Teriyaki dish and found that the chicken was extremely dry ."], "output": "['Chicken', ['dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered a Chicken Teriyaki dish and found that the chicken was extremely dry ."], "output": "['chicken', ['dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had Pam 's special fried fish and it was amazing ."], "output": "['Pam', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no excuse for such lousy service !"], "output": "['service', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['New', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['Lobster', ['award']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , a little inconsistency there but either way , both pizzas were really good ."], "output": "['pizzas', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not enough wines by the glass either ."], "output": "['wines', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the duck breast special on my last visit and it was incredible ."], "output": "['duck', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I must say it 's a little pricey for the food because it was not as spectacular as the view ."], "output": "['food', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["These innovators of french indian fusion do a great job of making dishes as interesting as possible while still being accessible ."], "output": "['french', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["These innovators of french indian fusion do a great job of making dishes as interesting as possible while still being accessible ."], "output": "['dishes', ['interesting', 'accessible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were worried we would have trouble getting in , but somehow managed to have a short wait ."], "output": "['wait', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife had the fried shrimp which are huge and loved it ."], "output": "['fried', ['huge', 'loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is awful -- the last time I was there ( and I do mean the last time ) we were told that they needed our table so we would have to leave ."], "output": "['service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["night without a reservation , we had to wait at the bar for a little while , but the manager was so nice and made our wait a great experience ."], "output": "['manager', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the green curry ! ! !"], "output": "['green', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['scallops', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['appetizer', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['sauce', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were also seated promptly at the time of our reservation and the service was very quick and professional ."], "output": "['service', ['quick', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You rarely have to wait for a seat and the currys ( masaman , green , red ) are full of flavor and come super spicy if you ask for it ."], "output": "['seat', ['rarely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You rarely have to wait for a seat and the currys ( masaman , green , red ) are full of flavor and come super spicy if you ask for it ."], "output": "['currys', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You rarely have to wait for a seat and the currys ( masaman , green , red ) are full of flavor and come super spicy if you ask for it ."], "output": "['flavor', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food there are sastifying ."], "output": "['food', ['sastifying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend visiting this restaurant and having dinner and drinks !"], "output": "['dinner', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend visiting this restaurant and having dinner and drinks !"], "output": "['drinks', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['bar', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['beers', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['wines', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['priced', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['Gigondas', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['house', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["at night , but it 's hard to hear your own conversation with everyone else competing for that same luxury - the music playing in the background is also voluminous ."], "output": "['music', ['voluminous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have enjoyed everything I have ever gotten and the fish is so fresh and always prepared in a great way ."], "output": "['fish', ['fresh', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I particularly love their yellowfun tuna and their mussel selection ."], "output": "['yellowfun', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I particularly love their yellowfun tuna and their mussel selection ."], "output": "['mussel', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love to visit Murrays for my bagel fix ."], "output": "['bagel', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We made early dinner reservations and were thoroughly impressed , reminds me of my grandfather , its old school Italian scenery with lots of fun stuff to admire ."], "output": "['scenery', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We made early dinner reservations and were thoroughly impressed , reminds me of my grandfather , its old school Italian scenery with lots of fun stuff to admire ."], "output": "['dinner', ['early']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was nice and calm ."], "output": "['place', ['nice', 'calm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cheese plate is a varied delight and great bargain at $ 10 ."], "output": "['Cheese', ['varied', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I could have drank 4 glasses of water and still been parched - so watch out ."], "output": "['glasses', ['parched']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When we sat , we got great and fast service ."], "output": "['service', ['great', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most of the servers are very attentive , friendly and quite attractive ."], "output": "['servers', ['attentive', 'friendly', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is average ."], "output": "['Service', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But they 've done a really nice job of offering all the typical pizzeria faves plus some terrific specials like the Godmother pizza ( a sort of traditional flat pizza with an olive oil-brushed crust and less tomato sauce than usual ) ."], "output": "['Godmother', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But they 've done a really nice job of offering all the typical pizzeria faves plus some terrific specials like the Godmother pizza ( a sort of traditional flat pizza with an olive oil-brushed crust and less tomato sauce than usual ) ."], "output": "['specials', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They forgot a sandwich , did n't include plastic forks , and did n't include pita with the hummus platter ."], "output": "['sandwich', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak is good , the fish is good and the sushi was surprisingly great ."], "output": "['steak', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak is good , the fish is good and the sushi was surprisingly great ."], "output": "['fish', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak is good , the fish is good and the sushi was surprisingly great ."], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was poor , restaurant poorly lit , staff not very attentive and I would have rather eaten at a Mcdonald 's than this joint ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was poor , restaurant poorly lit , staff not very attentive and I would have rather eaten at a Mcdonald 's than this joint ."], "output": "['staff', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My GF and I still choose to eat there a lot because of diverse cocktails , the chill decor , and the decent sushi ."], "output": "['cocktails', ['diverse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My GF and I still choose to eat there a lot because of diverse cocktails , the chill decor , and the decent sushi ."], "output": "['decor', ['chill']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My GF and I still choose to eat there a lot because of diverse cocktails , the chill decor , and the decent sushi ."], "output": "['sushi', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ended the dinner with a surprisingly light and flaky apple tarte tatin ."], "output": "['apple', ['flaky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The buffet had a nice selection ."], "output": "['buffet', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The buffet had a nice selection ."], "output": "['selection', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waitstaff are very friendly ."], "output": "['Waitstaff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow had to wait to order and get food although not crowded ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was below average , the service was pathetic , there was no ambience at all ."], "output": "['food', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was below average , the service was pathetic , there was no ambience at all ."], "output": "['service', ['pathetic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was below average , the service was pathetic , there was no ambience at all ."], "output": "['ambience', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I REALLY ENJOYED THE SHOWS PUT ON BY THE ACTORS ."], "output": "['SHOWS', ['ENJOYED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I REALLY ENJOYED THE SHOWS PUT ON BY THE ACTORS ."], "output": "['ACTORS', ['ENJOYED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["service was efficient courteous ."], "output": "['service', ['efficient', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The miso soup lacked flavor and the fish was unfortunately not as well prepared as in the past ."], "output": "['miso', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The miso soup lacked flavor and the fish was unfortunately not as well prepared as in the past ."], "output": "['fish', ['unfortunately']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The miso soup lacked flavor and the fish was unfortunately not as well prepared as in the past ."], "output": "['flavor', ['lacked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are the best bagels I 've had ."], "output": "['bagels', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Toons has recently been redone , so it 's now a very attractive space ."], "output": "['space', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the prices are nothing special , the portions are huge ."], "output": "['prices', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the prices are nothing special , the portions are huge ."], "output": "['portions', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its a nice quiet location to go eat a good meal , relax , be able to talk and have a very good time ."], "output": "['location', ['nice', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its a nice quiet location to go eat a good meal , relax , be able to talk and have a very good time ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I think this place is a good hang out spot ."], "output": "['spot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is Prix Fixe , so be prepared to spend at least $ 60 per person , but it is Well worth it superb food ."], "output": "['menu', ['Well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is Prix Fixe , so be prepared to spend at least $ 60 per person , but it is Well worth it superb food ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is Prix Fixe , so be prepared to spend at least $ 60 per person , but it is Well worth it superb food ."], "output": "['Prix', ['Well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and impressive ."], "output": "['wine', ['extensive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the most wonderful waitress ."], "output": "['waitress', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the staff at this little bistro is very friendly , I have never experienced more incompetency ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quail was fantastic and unique and the pastas were full of flavor ."], "output": "['quail', ['fantastic', 'unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quail was fantastic and unique and the pastas were full of flavor ."], "output": "['pastas', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quail was fantastic and unique and the pastas were full of flavor ."], "output": "['flavor', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is courteous and friendly ."], "output": "['staff', ['courteous', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['Decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['service', ['spotty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the rushed service , we were very impressed with the food and the drinks ."], "output": "['service', ['rushed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the rushed service , we were very impressed with the food and the drinks ."], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the rushed service , we were very impressed with the food and the drinks ."], "output": "['drinks', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend this place to anyone who is looking for a fine Indian dining experience that is definitely a value for your dollar ."], "output": "['Indian', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And even with it 's Pub atmosphere they were great to my kids too !"], "output": "['Pub', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This big draw is the all you can sushi here for $ 19.95 !"], "output": "['sushi', ['draw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Some of the workers ignore me and talk to the female customers , other times , they 've skipped my order ."], "output": "['workers', ['ignore']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Some of the workers ignore me and talk to the female customers , other times , they 've skipped my order ."], "output": "['order', ['skipped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The specials are usually quite good too ."], "output": "['specials', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They 've the best desserts and mixed drinks as well as snack foods ."], "output": "['desserts', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They 've the best desserts and mixed drinks as well as snack foods ."], "output": "['mixed', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They 've the best desserts and mixed drinks as well as snack foods ."], "output": "['snack', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Really cool stauff inside ."], "output": "['stauff', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the new restaurant still features much of the same classical furniture that made Tiffin so attractive , the menu has been overhauled ."], "output": "['classical', ['classical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the new restaurant still features much of the same classical furniture that made Tiffin so attractive , the menu has been overhauled ."], "output": "['menu', ['overhauled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best burger I have had in the Village ."], "output": "['burger', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['blond', ['soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['sake', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is usually a wait but it is well worth it ."], "output": "['wait', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Your money could easily be better spent elsewhere ( Anywhere ) ."], "output": "['money', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Only drawback - they wo n't toast your bagel , and they do n't make eggs for the bagel ."], "output": "['bagel', ['drawback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As always we had a great glass of wine while we waited ."], "output": "['glass', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she's-way-cuter-than-me-that-b @ # $ * way ) ."], "output": "['wait', ['pleasant', 'fun', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course this atmosphere is lacking , but what do you expect from a 24 hour bagel place anyways ?"], "output": "['atmosphere', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very good and warm ."], "output": "['Service', ['good', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cornelia Street looks like a Broadway set for West Side Story and the inside of Po is so cool quaint you really ca n't top the setting for a romantic dinner in NYC ."], "output": "['dinner', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['view', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Se-Ew or Chicken with Cashew Nuts for a memorable and repeatable experience ."], "output": "['Pad', ['Try', 'memorable', 'repeatable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Se-Ew or Chicken with Cashew Nuts for a memorable and repeatable experience ."], "output": "['Chicken', ['Try', 'memorable', 'repeatable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's just O.K . pizza ."], "output": "['pizza', ['O.K']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['ambience', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was a bit slow , but they were very friendly ."], "output": "['service', ['slow', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['specials', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['atmosphere', ['warm', 'lively']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['French', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is above average for midtown and sligtly better than some of the other Heartland Breweries in the city ."], "output": "['food', ['above', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thius is a must for anyone who loves Shabu-Shabu ."], "output": "['Shabu-Shabu', ['loves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was absolutely horrible !"], "output": "['food', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food does n't appear to be cooked on premisis but there 's a high turnover so its pretty fresh ."], "output": "['Food', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Similar to other Indian restaurants , they use the dinner special to attract customers at the door ."], "output": "['dinner', ['attract']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people with carts of food do n't understand you because they do n't speak English , their job is to give you the delicious food you point at ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crackling calamari salad , which is usually a cheap disaster at many restaurants , is crispy and lightly dressed ."], "output": "['crackling', ['crispy', 'lightly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not the greatest sushi place , but excellent for a $ 19.95 all you can eat ."], "output": "['sushi', ['Not', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Shockingly easy to throw a group dinner here : simple contract , deposit only to hold the date the entire 2nd fl mezz for our grp of 20 ."], "output": "['group', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Thai ice tea was amazingly smooth and yummy !"], "output": "['Thai', ['smooth', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drinks way over priced ."], "output": "['Drinks', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drinks way over priced ."], "output": "['priced', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The main downside to the place is the nazi-like guy running it who constantly complains about the noise level ."], "output": "['noise', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The main downside to the place is the nazi-like guy running it who constantly complains about the noise level ."], "output": "['guy', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What I did n't like was how the food came right after it was ordered ."], "output": "['food', ['did']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moderate prices ."], "output": "['prices', ['Moderate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I think I 've had some the best meals of my life at minnow ."], "output": "['meals', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My biggest complaint was the untasty food although presented well ."], "output": "['food', ['untasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most importantly , food is excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great roofdeck , nice group of 30 somethings , but no music , kind of quiet ."], "output": "['roofdeck', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great roofdeck , nice group of 30 somethings , but no music , kind of quiet ."], "output": "['music', ['no', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best part of the experience was knowing that the manager ( a bubbly , friendly young woman with a great smile ) truly cared about how we were doing ."], "output": "['manager', ['bubbly', 'friendly', 'young']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , service was as plain as sesame crusted Salmon I had ."], "output": "['service', ['plain']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , service was as plain as sesame crusted Salmon I had ."], "output": "['sesame', ['plain']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's great to go for a quick lunch either alone or with a friend ."], "output": "['lunch', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You get what you pay for and with that logic in mind , Spice is a great place to grab some cheap eats and drinks in a beautiful setting ."], "output": "['eats', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You get what you pay for and with that logic in mind , Spice is a great place to grab some cheap eats and drinks in a beautiful setting ."], "output": "['drinks', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You get what you pay for and with that logic in mind , Spice is a great place to grab some cheap eats and drinks in a beautiful setting ."], "output": "['setting', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than being a little crowded and a bit overpriced , the atmosphere is filled with energy ( and the beautiful people of course ) and the food was surprising good !"], "output": "['atmosphere', ['energy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than being a little crowded and a bit overpriced , the atmosphere is filled with energy ( and the beautiful people of course ) and the food was surprising good !"], "output": "['people', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other than being a little crowded and a bit overpriced , the atmosphere is filled with energy ( and the beautiful people of course ) and the food was surprising good !"], "output": "['food', ['surprising']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waiters are slow but sweet ."], "output": "['Waiters', ['slow', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The music is the best among all the Indian restaurants I have visited ."], "output": "['music', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread and lamb chops I had before the meal were quite good , however ."], "output": "['bread', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread and lamb chops I had before the meal were quite good , however ."], "output": "['lamb', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['atmosphere', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table ."], "output": "['noodles', ['complimentary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table ."], "output": "['sugar', ['ignored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table ."], "output": "['dishes', ['threw']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["one of the best Chicken Tikka Masala ."], "output": "['Chicken', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['dumplings', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['decor', ['clean', 'chic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The kitchen however , is almost always slow ."], "output": "['kitchen', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The corned beef and pastrami are excellent , much less fatty than those big tourist places around Times Square ."], "output": "['corned', ['excellent', 'less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The corned beef and pastrami are excellent , much less fatty than those big tourist places around Times Square ."], "output": "['pastrami', ['excellent', 'less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['wait', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['place', ['Cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["people are rude bit again it 's new york !"], "output": "['people', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The plain slice is great and if you get toppings , the whole slice is topped with them , not sparsely sprinkled on like some places ."], "output": "['plain', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['Service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['ambience', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is great , takeout is good too ."], "output": "['Service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is great , takeout is good too ."], "output": "['takeout', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is overpriced and soggy ."], "output": "['pizza', ['overpriced', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is excellent , the menu is quite extensive , and you eat with a view on both sides of the city ."], "output": "['menu', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the quality of food , a little too expensive ."], "output": "['quality', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Here 's to the fake fish tanks too ..."], "output": "['fish', ['fake']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its worth the wait though ."], "output": "['wait', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['service', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['fish', ['fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["we decided to eat in tea room which was small and cute ."], "output": "['tea', ['small', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What an amazing meal and experience !"], "output": "['meal', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unique apppetizers ."], "output": "['apppetizers', ['Unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has always been attentive and kind , and I 've always been amazed at how they 've handled all the various different group sizes that come in ."], "output": "['staff', ['attentive', 'kind', 'amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["IT is the best deal in town for a Monday night dinner at a fine restaurant ."], "output": "['dinner', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['wait', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['dim', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['dim', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has good potential , but needs a significant amount of work before we can justify spending that much money on indian food you can get everywhere else ."], "output": "['money', ['much']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['decor', ['cool', 'understated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Thai food is good ."], "output": "['Thai', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great selection of wine , and seafood ."], "output": "['selection', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great selection of wine , and seafood ."], "output": "['seafood', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Acceptable prices ."], "output": "['prices', ['Acceptable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As I made the title , it 's an affordable restaurant for great taste ."], "output": "['taste', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Definitely not worth the price !"], "output": "['price', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Orsay , is a very pleasant throw back to traditional French food , and French service as well ."], "output": "['French', ['pleasant', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Orsay , is a very pleasant throw back to traditional French food , and French service as well ."], "output": "['service', ['pleasant', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's easy to get a table for a large group and you do n't get hustled out ."], "output": "['table', ['easy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food at reasonable prices ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food at reasonable prices ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads are a delicious way to begin the meal ."], "output": "['Salads', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered tamarind duck and my wife ordered noodles with ground beef , and we were both delighted by the way the dishes evoked Thai flavors in unexpected ways ."], "output": "['tamarind', ['delighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered tamarind duck and my wife ordered noodles with ground beef , and we were both delighted by the way the dishes evoked Thai flavors in unexpected ways ."], "output": "['noodles', ['delighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered tamarind duck and my wife ordered noodles with ground beef , and we were both delighted by the way the dishes evoked Thai flavors in unexpected ways ."], "output": "['dishes', ['delighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered tamarind duck and my wife ordered noodles with ground beef , and we were both delighted by the way the dishes evoked Thai flavors in unexpected ways ."], "output": "['Thai', ['delighted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you 've ever been along the river in Weehawken you have an idea of the top of view the chart house has to offer ."], "output": "['view', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are about $ 9 for an entree for dinner and even less for lunch ."], "output": "['prices', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are about $ 9 for an entree for dinner and even less for lunch ."], "output": "['entree', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are about $ 9 for an entree for dinner and even less for lunch ."], "output": "['dinner', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are about $ 9 for an entree for dinner and even less for lunch ."], "output": "['lunch', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Should you happen to be impressed by the cuisine definitely try it ."], "output": "['cuisine', ['impressed', 'try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the black cod with yuzu sauce , which was wonderful ."], "output": "['black', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices too high for this cramped and unappealing resturant ."], "output": "['Prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Total hipster-wannabe attitude in an otherwise sweet spot ."], "output": "['spot', ['sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything , from the soft bread , soggy salad , and 50 minute wait time , with an incredibly rude service to deliver below average food ."], "output": "['service', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything , from the soft bread , soggy salad , and 50 minute wait time , with an incredibly rude service to deliver below average food ."], "output": "['food', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sicilian is my favorite it is moist not dry like most places but all their pizza is great !"], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sicilian is my favorite it is moist not dry like most places but all their pizza is great !"], "output": "['sicilian', ['favorite', 'moist', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downstairs lounge is always a good attraction"], "output": "['Downstairs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu prices are a bit expensive for what you get in quality and portion size ."], "output": "['menu', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['service', ['prompt', 'helpful', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( food was delivered by a busboy , not waiter ) We got no cheese offered for the pasta , our water and wine glasses remained EMPTY our entire meal , when we would have easily spent another $ 20 on wine ."], "output": "['water', ['EMPTY']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The takeout is great too since they give high quality tupperware as well ."], "output": "['takeout', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['sauces', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is definitely an excellent date spot because of the ambiance and on the weekends the night scene is more than alive ."], "output": "['night', ['alive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is definitely an excellent date spot because of the ambiance and on the weekends the night scene is more than alive ."], "output": "['spot', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of us actually liked the expresso - that 's it ."], "output": "['expresso', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Again , the waitress was awesome ."], "output": "['waitress', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['shows', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['actors', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['hot', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was just OK , I would never go back ."], "output": "['food', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Scalina Fedeli reminded me why service is so integral to fine dining ."], "output": "['service', ['integral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Scalina Fedeli reminded me why service is so integral to fine dining ."], "output": "['dining', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i recommend the thai popcorn : )"], "output": "['thai', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything looks great , the drinks , the decor , the food , even the people ."], "output": "['drinks', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything looks great , the drinks , the decor , the food , even the people ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything looks great , the drinks , the decor , the food , even the people ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The parathas and kebabs are made when ordered ensuring a level of freshness that is unsurpassed ."], "output": "['parathas', ['unsurpassed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The parathas and kebabs are made when ordered ensuring a level of freshness that is unsurpassed ."], "output": "['kebabs', ['unsurpassed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['tuna', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['wasabe', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only disappointment was the coat check girls who did n't seem to know what a customer is on a realtively non-busy night ( for the coat check girls ) ."], "output": "['coat', ['disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ummm ... the beer was cold ."], "output": "['beer', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had great desserts ( including the best cannoli I 've ever had ) and then they offered an after dinner drink , on the house ."], "output": "['desserts', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had great desserts ( including the best cannoli I 've ever had ) and then they offered an after dinner drink , on the house ."], "output": "['cannoli', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good crowd , good outdoor seating , with a hip japanese vibe ."], "output": "['outdoor', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good crowd , good outdoor seating , with a hip japanese vibe ."], "output": "['vibe', ['hip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even with the prix fixe pricing , this restaurant is not worth it ."], "output": "['prix', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We asked to be moved ( which took half an hour ) , and then were seated in a high traffic area in the back , even though the rest of the room was practically empty ."], "output": "['room', ['empty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , their popularity has yet to slow down , and I still find myself drawn to their ambiance and delectable reputation ."], "output": "['ambiance', ['drawn']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Where tanks in other Chinatown restaurants display a lurking myriad of sad-looking marine life in their murky waters , the tanks at Ping 's are clear as glass with healthy-looking creatures who do not yet know that they will be part of some dim sum lover 's brunch ."], "output": "['tanks', ['sad-looking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Where tanks in other Chinatown restaurants display a lurking myriad of sad-looking marine life in their murky waters , the tanks at Ping 's are clear as glass with healthy-looking creatures who do not yet know that they will be part of some dim sum lover 's brunch ."], "output": "['tanks', ['clear']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Where tanks in other Chinatown restaurants display a lurking myriad of sad-looking marine life in their murky waters , the tanks at Ping 's are clear as glass with healthy-looking creatures who do not yet know that they will be part of some dim sum lover 's brunch ."], "output": "['dim', ['healthy-looking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Halibut was too salty , dessert was so so ( do n't waste any of your calories ) and service was poor ."], "output": "['Halibut', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Halibut was too salty , dessert was so so ( do n't waste any of your calories ) and service was poor ."], "output": "['dessert', ['so']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Halibut was too salty , dessert was so so ( do n't waste any of your calories ) and service was poor ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['view', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was n't too hard to find , but it was kind of packed , as soon as my boyfriend and I got our food , the line reached the door ."], "output": "['place', ['hard', 'packed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good bagels and good cream cheese ."], "output": "['bagels', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good bagels and good cream cheese ."], "output": "['cream', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['food', ['wonderful', 'tasty', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['service', ['professional', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is also extremely well priced ."], "output": "['priced', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always great service !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am happy i did the food was awesome ."], "output": "['food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered the chicken casserole , but what we got were a few small pieces of chicken , all dark meat and on the bone ."], "output": "['chicken', ['few']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered the chicken casserole , but what we got were a few small pieces of chicken , all dark meat and on the bone ."], "output": "['meat', ['dark']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['jelly', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['drunken', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['soupy', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['stir', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I LOVED THE SHOWS ."], "output": "['SHOWS', ['LOVED']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We could have made a meal of the yummy dumplings from the dumpling menu ."], "output": "['dumplings', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Then , get ripped on free box wine ."], "output": "['box', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I ate here earlier this week and have not stopped ranting and raving about the food ."], "output": "['food', ['ranting', 'raving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['fish', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['staff', ['unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['sushi', ['miserable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food itself was just ok - nothing spectacular - but the service was awful ."], "output": "['food', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food itself was just ok - nothing spectacular - but the service was awful ."], "output": "['service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['pizza', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['atmoshpere', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , do n't plan on asking for your favorite roll , if it 's not on the menu , you ca n't have it ."], "output": "['roll', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good food ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['rolls', ['big', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['sashimi', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['pesto', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['Italian', ['nice', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["try the spicy shrimp appetizer ( again , not the greatest value in the world but worth the price ) and the lamb vindaloo is great ."], "output": "['shrimp', ['try', 'spicy', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["try the spicy shrimp appetizer ( again , not the greatest value in the world but worth the price ) and the lamb vindaloo is great ."], "output": "['price', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["try the spicy shrimp appetizer ( again , not the greatest value in the world but worth the price ) and the lamb vindaloo is great ."], "output": "['lamb', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good not great not worth the wait or another visit"], "output": "['Food', ['good', 'not', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good not great not worth the wait or another visit"], "output": "['wait', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have had so many dinners here and it 's always been perfect - on a date with my husband , with my mom , with girlfriends and larger groups ."], "output": "['dinners', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['spices', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['onions', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['eggs', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['roti', ['kick-ass']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Incredible food at a very agreeable price brings me back just about every other day to this authentic Thai restaurant ."], "output": "['food', ['Incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Incredible food at a very agreeable price brings me back just about every other day to this authentic Thai restaurant ."], "output": "['price', ['agreeable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu has lots of options : I hope to go back to try those potato pancakes ."], "output": "['menu', ['lots']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu has lots of options : I hope to go back to try those potato pancakes ."], "output": "['potato', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is n't the friendliest or most competent , and I am stickler for service , but everything else about this place makes up for it ."], "output": "['staff', ['friendliest', 'competent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I will usually only order one primi and one secondi and split them , as they tend to offer large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious crab cakes too ."], "output": "['crab', ['Delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This was the worst dining experience I 've ever had ."], "output": "['dining', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruschetta and panini 's are so yummy !"], "output": "['bruschetta', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bruschetta and panini 's are so yummy !"], "output": "['panini', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was okay , nothing great ."], "output": "['Food', ['okay', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always popular , always full , always a wait ."], "output": "['wait', ['always']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If the omakase is to showcase technique and variety , serving almost 40 % of items BBQ-ed and a spicy tuna roll wrapped with not-so-fresh nori seems to be a rather limp performance ."], "output": "['nori', ['not-so-fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ca n't wait for summer , when they serve outside on their gigantic patio ."], "output": "['patio', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['Pastrami', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['portion', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first 2 courses were very good , but the chocolate sampler was too rich for me and the dessert wine far too sweet ."], "output": "['courses', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first 2 courses were very good , but the chocolate sampler was too rich for me and the dessert wine far too sweet ."], "output": "['chocolate', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first 2 courses were very good , but the chocolate sampler was too rich for me and the dessert wine far too sweet ."], "output": "['dessert', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Butter was melted , white wine warm , cheese oozing everywhere ."], "output": "['Butter', ['melted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Butter was melted , white wine warm , cheese oozing everywhere ."], "output": "['white', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Butter was melted , white wine warm , cheese oozing everywhere ."], "output": "['cheese', ['oozing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a party in their private room and they made it truly memorable and were very helpful in the planning ."], "output": "['private', ['truly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It can not be the ambience , because the place is very cramped and some guests have to sit in an aisle ."], "output": "['place', ['cramped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were disappointed with the pre-fixe menu of only 2 choices per course ( other restaurants offer 3 choices ) and ended up ordering a la carte ."], "output": "['pre-fixe', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were disappointed with the pre-fixe menu of only 2 choices per course ( other restaurants offer 3 choices ) and ended up ordering a la carte ."], "output": "['choices', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic Pakistani food ."], "output": "['Pakistani', ['Authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has always been friendly without seeming grating , and the chef has greeted us on a couple of occasions ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The eggplant parmesan is also great , and my friend who grew up in Manhattan claims that no one serves a better baked ziti with meatsauce ."], "output": "['eggplant', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The eggplant parmesan is also great , and my friend who grew up in Manhattan claims that no one serves a better baked ziti with meatsauce ."], "output": "['baked', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality ingredients preparation all around , and a very fair price for NYC ."], "output": "['ingredients', ['Quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quality ingredients preparation all around , and a very fair price for NYC ."], "output": "['price', ['fair']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very good - prompt , attentive and non-intrusive ."], "output": "['Service', ['good', 'prompt', 'attentive', 'non-intrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My entree of hot pot with seafood was full of imitation crabmeat with a couple pieces of shrimp and squid , and was unnecessarily heated with a burner ."], "output": "['crabmeat', ['unnecessarily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In such a crappy part of town to find a good value for lunch , this place is great ."], "output": "['value', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In fact , while leaving the place we saw two people looking at the menu , and I could n't help telling them that the food was horrible ."], "output": "['food', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though the restaurant was packed , we were seated promptly and even asked for a table upstairs with no problems ."], "output": "['seated', ['promptly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread is the soft paratha bread ( unlike the plain bread they use in Calcutta ) , and the stuffing is tandoori styled and very flavorful ."], "output": "['paratha', ['soft']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread is the soft paratha bread ( unlike the plain bread they use in Calcutta ) , and the stuffing is tandoori styled and very flavorful ."], "output": "['bread', ['plain']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread is the soft paratha bread ( unlike the plain bread they use in Calcutta ) , and the stuffing is tandoori styled and very flavorful ."], "output": "['stuffing', ['styled', 'flavorful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bread is the soft paratha bread ( unlike the plain bread they use in Calcutta ) , and the stuffing is tandoori styled and very flavorful ."], "output": "['tandoori', ['styled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is friendly , prices are good - delivery time was a little slow , but for the way this pizza tastes , I 'm willing to overlook it ."], "output": "['Service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is friendly , prices are good - delivery time was a little slow , but for the way this pizza tastes , I 'm willing to overlook it ."], "output": "['prices', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is friendly , prices are good - delivery time was a little slow , but for the way this pizza tastes , I 'm willing to overlook it ."], "output": "['delivery', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['food', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An excellent service"], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food however , is what one might expect ."], "output": "['food', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I LOVE their Thai noodles with shrimp and chicken and coconut juice is the MUST !"], "output": "['Thai', ['LOVE', 'MUST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was really good ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only possible drawback to this last point is that as of the date of this posting , the additional menu items are only written in Chinese ."], "output": "['menu', ['drawback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is average , and I would say even the chain restaurant Baluchi 's tastes better ."], "output": "['Food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['place', ['small', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['portion', ['appropriate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kosher dills are the perfect compliment for your unforgetable sandwich and they give you plenty of them ."], "output": "['Kosher', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kosher dills are the perfect compliment for your unforgetable sandwich and they give you plenty of them ."], "output": "['sandwich', ['unforgetable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['food', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['waiters', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food there is so good that even to order out the wait is incredible ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food there is so good that even to order out the wait is incredible ."], "output": "['wait', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bartender on my most recent visit was so incredibly rude that I will never go back ."], "output": "['bartender', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sushi , Kamikaze and other Rolls are fresh and well presented ."], "output": "['sushi', ['fresh', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sushi , Kamikaze and other Rolls are fresh and well presented ."], "output": "['Kamikaze', ['fresh', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sushi , Kamikaze and other Rolls are fresh and well presented ."], "output": "['Rolls', ['fresh', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For authentic Thai food , look no further than Toons ."], "output": "['Thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The highlight of the night was the mayonaisse for my side of fries I received from one of the food runners , which is not good considering the bill was nearly $ 100 ."], "output": "['mayonaisse', ['highlight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The highlight of the night was the mayonaisse for my side of fries I received from one of the food runners , which is not good considering the bill was nearly $ 100 ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I choose to go with one of the special , the braised lamb shank in red wine , which was excellent ."], "output": "['braised', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I choose to go with one of the special , the braised lamb shank in red wine , which was excellent ."], "output": "['special', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['salmon', ['wasnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['servings', ['Small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["you can actually get 2 salads worth if u take it home and add it to some lettuce !"], "output": "['salads', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is very romantic and definitely a good place to bring a date ."], "output": "['ambience', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is very romantic and definitely a good place to bring a date ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ."], "output": "['bar', ['popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ."], "output": "['tables', ['few']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ."], "output": "['atmosphere', ['enjoyed', 'unobtrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very good for it 's price , better than most fried dumplings I 've had ."], "output": "['food', ['good', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very good for it 's price , better than most fried dumplings I 've had ."], "output": "['fried', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There are much better places in NY with better prices ."], "output": "['prices', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Obv caviar is top of the line but the rest of the menu is so diverse it gives you a chance to taste so manydifferent varietys ."], "output": "['Obv', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Obv caviar is top of the line but the rest of the menu is so diverse it gives you a chance to taste so manydifferent varietys ."], "output": "['menu', ['diverse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ate here a week ago and found most dishes average at best and too expensive ."], "output": "['dishes', ['average', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Still , try it once , since if you end up loving the food , it could be one of your best dining experiences ."], "output": "['food', ['loving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Still , try it once , since if you end up loving the food , it could be one of your best dining experiences ."], "output": "['dining', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['pizza', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['santa', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['fish', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is very calm and quiet ."], "output": "['ambience', ['calm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both times I was extremely dissappointed by the service , which was boarderline rude ."], "output": "['service', ['dissappointed', 'rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["not only does make the best pizza in NY , maybe anywhere ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy Tuna roll is huge and probably the best that I 've had at this price range ."], "output": "['Tuna', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy Tuna roll is huge and probably the best that I 've had at this price range ."], "output": "['price', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our waiter and all of the people helping him were attentive and genuine ."], "output": "['waiter', ['attentive', 'genuine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['place', ['BISTRO']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['dishes', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['wine', ['served']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['atmosphere', ['bustling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['served', ['efficiently']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is one of the best comfort food places in the city ."], "output": "['comfort', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a huge pastrami sandwich on a roll ."], "output": "['pastrami', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ."], "output": "['table', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ."], "output": "['atomosphere', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ."], "output": "['room', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ."], "output": "['spot', ['tight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['fish', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['rice', ['old', 'stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Considering their price of $ 6.25 for lunch special , the dish was ridiculously small ."], "output": "['dish', ['ridiculously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Besides , when you have bad service , that 's less money you have to tip ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Besides , when you have bad service , that 's less money you have to tip ."], "output": "['money', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Besides , when you have bad service , that 's less money you have to tip ."], "output": "['tip', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is also really nice ."], "output": "['wine', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['Service', ['devine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['oysters', ['sensual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['price', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Compared to Ess-a , Tal offers a less doughy bagel !"], "output": "['bagel', ['less']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ballato 's is consistently delicious authentic italian food ."], "output": "['italian', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet discreet ."], "output": "['service', ['attentive', 'discreet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They offer the same menu but have creative drinks that are loaded with alcohol and cheeky names -- but they do cost you ."], "output": "['menu', ['same']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They offer the same menu but have creative drinks that are loaded with alcohol and cheeky names -- but they do cost you ."], "output": "['drinks', ['creative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went to eat at the Jekyll and Hyde restaurant on Friday night and really enjoyed the fun atmosphere and good food ."], "output": "['atmosphere', ['enjoyed', 'fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went to eat at the Jekyll and Hyde restaurant on Friday night and really enjoyed the fun atmosphere and good food ."], "output": "['food', ['enjoyed', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty traditional but it was hot and good with large portions ."], "output": "['food', ['traditional', 'hot', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty traditional but it was hot and good with large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unless you are eating in the Pizzeria side of this place , and are not in a rush , this place is a bad idea ."], "output": "['place', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance is barely romantic but management tries ."], "output": "['Ambiance', ['barely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance is barely romantic but management tries ."], "output": "['management', ['tries']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I must warn the reader that the portions sizes are very small ( especially the appetizers ) , so if you plan to eat until you are full and do not intend to order the chef 's special tasting menu , prepare to order and pay for an appetizer ( 1 dish for each person because the portions are not for sharing ) , a main entree , and the cold udon at the end of the meal ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I must warn the reader that the portions sizes are very small ( especially the appetizers ) , so if you plan to eat until you are full and do not intend to order the chef 's special tasting menu , prepare to order and pay for an appetizer ( 1 dish for each person because the portions are not for sharing ) , a main entree , and the cold udon at the end of the meal ."], "output": "['appetizers', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They were very abrupt with me when I called and actually claimed the food was late because they were out of rice ."], "output": "['food', ['late']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They were very abrupt with me when I called and actually claimed the food was late because they were out of rice ."], "output": "['rice', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After we got our sashimi order , I could not believe how small the portions were !"], "output": "['sashimi', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After we got our sashimi order , I could not believe how small the portions were !"], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nothing better than buying a snapple for $ 3.25 too ."], "output": "['snapple', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is extraordinary , yet not overbearing , and the decor brings a taste of trendy SoHo into Queens ."], "output": "['Service', ['extraordinary', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is extraordinary , yet not overbearing , and the decor brings a taste of trendy SoHo into Queens ."], "output": "['decor', ['trendy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dosas are skimpy , unattractive and drip with grease , and personally I 'd drink popcorn topping before I 'd eat another one of these ."], "output": "['dosas', ['skimpy', 'unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If I wanted to deal with a crappy scene and annoying customers I 'd go out in Manhattan ."], "output": "['scene', ['crappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If I wanted to deal with a crappy scene and annoying customers I 'd go out in Manhattan ."], "output": "['customers', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Until you realize that their five minutes is meaningless and your wait may be anywhere from two to twenty minutes it may be frustrating ."], "output": "['wait', ['frustrating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , but not very thai ."], "output": "['food', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['people', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['food', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fillings may be unconventional but the dosa batter is definitely authentic and the combinations very tasty ."], "output": "['fillings', ['unconventional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fillings may be unconventional but the dosa batter is definitely authentic and the combinations very tasty ."], "output": "['dosa', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the perfect spot for meeting friends , having lunch , dinner , pre-theatre or after-theatre drinks !"], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ."], "output": "['mussaman', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ."], "output": "['fried', ['poorly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ."], "output": "['potato', ['poorly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['atmosphere', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sake martini is wonderful ."], "output": "['sake', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , this place is so Ghetto its not even funny ."], "output": "['place', ['Ghetto', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We would like to thank Marcelo and Grace for a wonderful dining experience ! ! !"], "output": "['dining', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Found service above average , but that could be because we were 13 of us ."], "output": "['service', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bagels are ok , but be sure not to make any special requests !"], "output": "['Bagels', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fine dining restaurant quality ."], "output": "['quality', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall a disappointing experience for that price category ."], "output": "['price', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was exceptional ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( and I have eaten my share ) Which impresses me for having such a large amount of people to serve ."], "output": "['serve', ['impresses', 'large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sure , the setting is nice ."], "output": "['setting', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is friendly , if not the most prompt in the world , the food is great , and the prices , while not cheap , wo n't put your wallet out of commission ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is friendly , if not the most prompt in the world , the food is great , and the prices , while not cheap , wo n't put your wallet out of commission ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is friendly , if not the most prompt in the world , the food is great , and the prices , while not cheap , wo n't put your wallet out of commission ."], "output": "['prices', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['drumsticks', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['sour', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Slightly above average wines start at $ 70+ with only one selection listed at $ 30+ ."], "output": "['wines', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their whitefish salad is excellent -- all whitefish with a little mayo ."], "output": "['whitefish', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their whitefish salad is excellent -- all whitefish with a little mayo ."], "output": "['whitefish', ['all']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their whitefish salad is excellent -- all whitefish with a little mayo ."], "output": "['mayo', ['little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And it all comes at a very reasonable price ( congee , noodles , and rice dishes are no more than $ 3-6 each ) ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And it all comes at a very reasonable price ( congee , noodles , and rice dishes are no more than $ 3-6 each ) ."], "output": "['congee', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And it all comes at a very reasonable price ( congee , noodles , and rice dishes are no more than $ 3-6 each ) ."], "output": "['noodles', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And it all comes at a very reasonable price ( congee , noodles , and rice dishes are no more than $ 3-6 each ) ."], "output": "['rice', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce ."], "output": "['chicken', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce ."], "output": "['chicken', ['edible', 'dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce ."], "output": "['tomato', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce ."], "output": "['pasta', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce ."], "output": "['sauce', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend this place to everyone who asks me where to go for a good meal ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitresses are nice -- also you can just get counter service sit ."], "output": "['waitresses', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only friendly staff member was the guy at the bar ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can certainly find restaurants that offer a superior fine dining experience , but for superb food at reasonable prices , La Villa ca n't be beat ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can certainly find restaurants that offer a superior fine dining experience , but for superb food at reasonable prices , La Villa ca n't be beat ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine a friendlier staff working in a restaurant ."], "output": "['staff', ['friendlier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do suggest to ask to be seated upstairs if you are looking to be a little cozy ."], "output": "['upstairs', ['cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The red curry is weak and tasteless , the pad thai is stuck together and lumpy , the rice is often overcooked , and the seafood is pretty sketchy ."], "output": "['red', ['weak', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The red curry is weak and tasteless , the pad thai is stuck together and lumpy , the rice is often overcooked , and the seafood is pretty sketchy ."], "output": "['pad', ['stuck', 'lumpy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The red curry is weak and tasteless , the pad thai is stuck together and lumpy , the rice is often overcooked , and the seafood is pretty sketchy ."], "output": "['rice', ['overcooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The red curry is weak and tasteless , the pad thai is stuck together and lumpy , the rice is often overcooked , and the seafood is pretty sketchy ."], "output": "['seafood', ['sketchy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['meal', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Saul is pretty good , but definitely not great ."], "output": "['Saul', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend Roxy 's for that , but not for their food ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall I was impressed and will return , it 's a great QPR ( Quality to Price Ratio ) ."], "output": "['Price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall I was impressed and will return , it 's a great QPR ( Quality to Price Ratio ) ."], "output": "['Quality', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is nearly impossible to get a table , so if you ever have the chance to go here for dinner , DO NOT pass it up ."], "output": "['table', ['impossible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their pad penang is delicious and everything else is fantastic ."], "output": "['pad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The puke green walls leave a lot to be desired , but the food is very good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The puke green walls leave a lot to be desired , but the food is very good ."], "output": "['walls', ['desired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The flavors are very fresh and pretty unobtrusive , nothing flashy ."], "output": "['flavors', ['fresh', 'unobtrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "['people', ['evil', 'incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['hanger', ['rubber']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['tuna', ['flavorless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our son loves pizza and we have a certified Neapolitan pizzaria in our home city ( Seattle ) , we liked this nearly as much - and the differences were more about personal preference than any reflection on either restaurant ."], "output": "['pizza', ['loves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["big and soft as well as good lunch food ."], "output": "['lunch', ['big', 'soft', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No food snobs allowed , this place is for people who appreciate good food ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I liked the food at this quasi-thai restaurant ."], "output": "['food', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far the best salad I have had in a fast food restaurant ."], "output": "['salad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As for the bar , this is another bad idea ."], "output": "['bar', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their bagels are fine , but they are a little overcooked , and not really a 'special ' bagel experience ."], "output": "['bagels', ['fine', 'overcooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unlike HH up the block , this place actually gives you hearty and hot bagels this town is known for ."], "output": "['bagels', ['hearty', 'hot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The barebecued salmon is elegantly spiced and not at all dry ."], "output": "['barebecued', ['elegantly', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What generous portions !"], "output": "['portions', ['generous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So , the menu is written in chalk above your head and it all sounds delicious ."], "output": "['menu', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The highly spiced chai tea was great too ."], "output": "['chai', ['highly', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been there many times , and food is good and consistent ."], "output": "['food', ['good', 'consistent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seriously , this is the best all you can eat in town- As everyone says , the Spicy Tuna hand rolls are the best- have 4 of these , and you 've broken even ."], "output": "['Spicy', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While Sapphire is certainly not lacking in ambiance , and probably has the best decor of any Indian restaurant I have been to in New York City , the food was not what I had hoped for ."], "output": "['food', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While Sapphire is certainly not lacking in ambiance , and probably has the best decor of any Indian restaurant I have been to in New York City , the food was not what I had hoped for ."], "output": "['ambiance', ['lacking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While Sapphire is certainly not lacking in ambiance , and probably has the best decor of any Indian restaurant I have been to in New York City , the food was not what I had hoped for ."], "output": "['decor', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend this place to anyone looking for a casual atmosphere that whisks you away to the left bank of the river Seine ."], "output": "['atmosphere', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The meat dishes were only so-so ."], "output": "['meat', ['so-so']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["His wife Tanya , the hostess , completes the comforting atmosphere by being delightfully warm and gracious ."], "output": "['hostess', ['delightfully', 'gracious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["His wife Tanya , the hostess , completes the comforting atmosphere by being delightfully warm and gracious ."], "output": "['atmosphere', ['comforting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu consisted of standard brassiere food , better then places like Balthazar etc ."], "output": "['brassiere', ['standard', 'better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been a longtime fan of Holy Basil in the East Village , and while I do believe their food has slightly slipped in quality , I have been hesitant to be disloyal ."], "output": "['quality', ['slipped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the best part about LS is the late night atmosphere , delightfully free of the BTs ."], "output": "['atmosphere', ['delightfully']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff there is very attentive and down to earth ."], "output": "['staff', ['attentive', 'down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You do n't go to Mizu for excellent service , you go for the large amounts of food , the amiable atmosphere , and the hole-in-the-wall feeling of the place ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You do n't go to Mizu for excellent service , you go for the large amounts of food , the amiable atmosphere , and the hole-in-the-wall feeling of the place ."], "output": "['food', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You do n't go to Mizu for excellent service , you go for the large amounts of food , the amiable atmosphere , and the hole-in-the-wall feeling of the place ."], "output": "['atmosphere', ['amiable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is always bad though , do n't expect much of anything from your server , and I would not recommend bringing a date here either ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is decent even when this small place is packed ."], "output": "['service', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is decent even when this small place is packed ."], "output": "['place', ['small', 'packed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the best sushi in new york city - hands down ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great value for the quality ingredients ."], "output": "['ingredients', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Thali was small , thoroughly unremarkable , and $ 14.95 ."], "output": "['Thali', ['small', 'unremarkable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi is also great !"], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the complimentary chef app of a delicate butternut squash ravioli in a delicious truffle sauce to an amazing buttery and tender langostine entree to a dessert that I ca n't remember because of the fabulous Cakebread Cabernet we were drinking -- the whole evening was amazing ."], "output": "['chef', ['complimentary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the complimentary chef app of a delicate butternut squash ravioli in a delicious truffle sauce to an amazing buttery and tender langostine entree to a dessert that I ca n't remember because of the fabulous Cakebread Cabernet we were drinking -- the whole evening was amazing ."], "output": "['delicate', ['delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the complimentary chef app of a delicate butternut squash ravioli in a delicious truffle sauce to an amazing buttery and tender langostine entree to a dessert that I ca n't remember because of the fabulous Cakebread Cabernet we were drinking -- the whole evening was amazing ."], "output": "['buttery', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the complimentary chef app of a delicate butternut squash ravioli in a delicious truffle sauce to an amazing buttery and tender langostine entree to a dessert that I ca n't remember because of the fabulous Cakebread Cabernet we were drinking -- the whole evening was amazing ."], "output": "['Cakebread', ['fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Truly the mark of an attentive waiter ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here is rather good , but only if you like to wait for it ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['cheesecake', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['pastries', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is very kind and well trained , they 're fast , they are always prompt to jump behind the bar and fix drinks , they know details of every item in the menu and make excellent recomendations ."], "output": "['staff', ['kind', 'well', 'fast', 'prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The makhani was OK -- the korma was bland ."], "output": "['makhani', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The makhani was OK -- the korma was bland ."], "output": "['korma', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is inventive but still keeps traditional indian flavoring ."], "output": "['food', ['inventive', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["though the service could be better ( possibly due to more than one very large group in the house ) , it is very cordial and warm , as is the general clientele ."], "output": "['service', ['could', 'cordial', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic , just simple , small and sparse ."], "output": "['decor', ['diner-ish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic , just simple , small and sparse ."], "output": "['place', ['simple', 'small', 'sparse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a cute place and could be good but they need to get their act together ."], "output": "['place', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lox is always fresh too ."], "output": "['lox', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very friendly ."], "output": "['Service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["So all I 'm trying to say is this restaurant is by far the best thai food restaurant I 've ever been to ."], "output": "['thai', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was OK - fish was cooked well ."], "output": "['Food', ['OK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was OK - fish was cooked well ."], "output": "['fish', ['cooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We actually left hungry and went across the street to Wo Hop at 15 Mott street for some good chinese food ."], "output": "['chinese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['foie', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['duck', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place ."], "output": "['staff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service does sometimes lack focus and it is not ideal if you are in a hurry but I have never been treated rudely ."], "output": "['service', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff offers impeccable service ."], "output": "['staff', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff offers impeccable service ."], "output": "['service', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ended our great experience by having Gulab Jamun ( dessert ) recommended by the waiter ."], "output": "['Gulab', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is sleek , modern and playful and i will return again frequently ."], "output": "['place', ['sleek', 'modern', 'playful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have known about this secret for the last 13 years , Emilio ( the Godfather ) has continued to serve food and wine for the gods at mortal prices ."], "output": "['prices', ['mortal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal ."], "output": "['brioche', ['cute', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal ."], "output": "['meal', ['memorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the bill was outrageous ."], "output": "['bill', ['outrageous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet unimposing , the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced ."], "output": "['service', ['attentive', 'unimposing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet unimposing , the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced ."], "output": "['food', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet unimposing , the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced ."], "output": "['wine', ['extensive', 'well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet unimposing , the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced ."], "output": "['priced', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind , attentive wait staff ."], "output": "['wait', ['Kind', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads were fantastic ."], "output": "['Salads', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owners and employees are friendly and their pizza is fantastic ."], "output": "['owners', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owners and employees are friendly and their pizza is fantastic ."], "output": "['employees', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owners and employees are friendly and their pizza is fantastic ."], "output": "['pizza', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['food', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['mussels', ['yummy', 'cooked-to-perfection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['fries', ['yummy', 'crispy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is authentic Italian - delicious !"], "output": "['food', ['authentic', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was like the servers forgot that they actually worked there and instead wanted to hang out and be cool ."], "output": "['servers', ['forgot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['ambience', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fast service ."], "output": "['service', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is excellent , special : that girl behind the bar , european chic ."], "output": "['staff', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is excellent , special : that girl behind the bar , european chic ."], "output": "['bar', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was bad , the food took to forever to come , we sat on the upper level ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was bad , the food took to forever to come , we sat on the upper level ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We a menu that rarely changes , e xcept for one or two specials , the quality and care they put in thier food in evident ."], "output": "['quality', ['evident']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We a menu that rarely changes , e xcept for one or two specials , the quality and care they put in thier food in evident ."], "output": "['care', ['evident']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is nice , but more casual than fine dining ."], "output": "['decor', ['nice', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This restaurant is a wonderful place to go many times and it is reasonably priced ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Stick to dimsum , not super overpriced noodles ."], "output": "['noodles', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is fine and they allow you to enjoy the view ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is fine and they allow you to enjoy the view ."], "output": "['view', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude ."], "output": "['staff', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['food', ['delicious', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , but very expensive for the casualness of it ."], "output": "['food', ['good', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only fallback on this restaurant is the prices ."], "output": "['prices', ['fallback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hot and sour soup was unbearably hot and tasted of only pepper and nothing else ."], "output": "['soup', ['unbearably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their wines by the glass are a great accompaniment and you can eat like a king with wine for under $ 30 ."], "output": "['wines', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['ambience', ['correct']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['staff', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is much better than Sripraphai ( more modern and sleek ) ."], "output": "['atmosphere', ['better', 'modern', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['service', ['quick', 'friendly', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels always warm , soft on the inside , crispy on the outside and enormous in size ."], "output": "['bagels', ['warm', 'soft', 'crispy', 'enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a late dinner at Lucky Stike , a great name for a joint if ever I saw one ."], "output": "['dinner', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is fast and friendly ."], "output": "['Service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And they have these home made potato chips at the bar that are the most delicious things in the world !"], "output": "['potato', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And they have these home made potato chips at the bar that are the most delicious things in the world !"], "output": "['bar', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband and I enjoyed each of the 6 taste size portions and left completely full ."], "output": "['portions', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We all ate pasta entre'es , which were great ."], "output": "['pasta', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak was excellent and one of the best I have had ( I tasted the butter intitally but in no way did it overwhelm the flavor of the meat ) ."], "output": "['steak', ['excellent', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was boring and expensive ."], "output": "['food', ['boring', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is pretty and nice for conversation , so a casual lunch here would probably be best ."], "output": "['ambience', ['pretty', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is pretty and nice for conversation , so a casual lunch here would probably be best ."], "output": "['lunch', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrific menu full of unique rolls and special dishes ."], "output": "['menu', ['Terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrific menu full of unique rolls and special dishes ."], "output": "['rolls', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrific menu full of unique rolls and special dishes ."], "output": "['dishes', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is ok but could be better ."], "output": "['service', ['ok', 'could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['drinks', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['atmosphere', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was here a few weeks back and we had the worst customer service experience at a restaurant ever ."], "output": "['customer', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Went on a 3 day oyster binge , with Fish bringing up the closing , and I am so glad this was the place it O trip ended , because it was so great !"], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Took my mom for Mother 's Day , and the maitre d ' was pretty rude ."], "output": "['maitre', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['vibe', ['relaxed', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are looking for a good quality , cheap eats - this is the place ."], "output": "['quality', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['atmosphere', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend their Pad See Ew , Pork Chops or Tofu plates ."], "output": "['Pad', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend their Pad See Ew , Pork Chops or Tofu plates ."], "output": "['Pork', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend their Pad See Ew , Pork Chops or Tofu plates ."], "output": "['Tofu', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Never in my life did I think that I could be satisfied both in taste and in quantity for $ 3.00 in NYC ."], "output": "['taste', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Never in my life did I think that I could be satisfied both in taste and in quantity for $ 3.00 in NYC ."], "output": "['quantity', ['satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this is the best secret place in midtown ' , I heard that from the bartender , after having brilliant food ( try steak with portobello mushrooms ) and drinks on the bar last Tuesday ."], "output": "['food', ['brilliant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this is the best secret place in midtown ' , I heard that from the bartender , after having brilliant food ( try steak with portobello mushrooms ) and drinks on the bar last Tuesday ."], "output": "['drinks', ['brilliant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this is the best secret place in midtown ' , I heard that from the bartender , after having brilliant food ( try steak with portobello mushrooms ) and drinks on the bar last Tuesday ."], "output": "['steak', ['brilliant', 'try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent - friendly and attentive ."], "output": "['service', ['excellent', 'friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The main course had an average portion , and was decent overall ."], "output": "['main', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The main course had an average portion , and was decent overall ."], "output": "['portion', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["20 minutes for our reservation but it gave us time to have a few cocktails and enjoy our surroundings and each other ."], "output": "['surroundings', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waitstaff is great , very attentive ."], "output": "['Waitstaff', ['great', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dinner menu is diverse and top-notch as well ."], "output": "['dinner', ['diverse', 'top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I do n't like Indian food too much and this was delicious , however you want to factor that into the equation ."], "output": "['Indian', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["at taj , vegetarians can rejoice-all the dishes are manna from heaven ."], "output": "['dishes', ['heaven']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Forget the rush and the wait and the noise ( which is n't actually that bad ) , I mean please , who goes to a steakhouse to be coddled and romantic ?"], "output": "['wait', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Forget the rush and the wait and the noise ( which is n't actually that bad ) , I mean please , who goes to a steakhouse to be coddled and romantic ?"], "output": "['noise', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Forget the rush and the wait and the noise ( which is n't actually that bad ) , I mean please , who goes to a steakhouse to be coddled and romantic ?"], "output": "['rush', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Jimmy 's is hands down the hottest night spot in the Bronx ."], "output": "['spot', ['hottest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The $ 300 bill was a bit steep , but the experience was great ."], "output": "['bill', ['steep']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice ambiance , nice little bar , good bartender , Francois , and good service ."], "output": "['bar', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice ambiance , nice little bar , good bartender , Francois , and good service ."], "output": "['bartender', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice ambiance , nice little bar , good bartender , Francois , and good service ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice ambiance , nice little bar , good bartender , Francois , and good service ."], "output": "['ambiance', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The calamari comes with an incredible sauce , and the duck noodles are yummy as well ."], "output": "['sauce', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The calamari comes with an incredible sauce , and the duck noodles are yummy as well ."], "output": "['duck', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would definitely go back -- if only for some of those exotic martinis on the blackboard ."], "output": "['martinis', ['exotic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Simple comfort food and what hot and large portions ."], "output": "['comfort', ['Simple', 'comfort']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Simple comfort food and what hot and large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels are also reasonably priced for NYC ."], "output": "['bagels', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels are also reasonably priced for NYC ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor leaves something to be desired ."], "output": "['Decor', ['desired']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , specify if you like your food spicy- its rather bland if you do n't ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our waiter was fine , the place looks nice in that not-trying-too-hard way , but at those prices , a little more should be expected of your food ."], "output": "['waiter', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our waiter was fine , the place looks nice in that not-trying-too-hard way , but at those prices , a little more should be expected of your food ."], "output": "['place', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our waiter was fine , the place looks nice in that not-trying-too-hard way , but at those prices , a little more should be expected of your food ."], "output": "['food', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Coming from Boston this place is like Emma 's Pizza in Kendall Square in Cambridge ( although they have more funky toppings ! )"], "output": "['toppings', ['funky']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to this restaurant more than a dozen times and when I 'm craving for Pho , Lemon grass chicken or Beef Cube on rice , this is the place to go ."], "output": "['Pho', ['craving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to this restaurant more than a dozen times and when I 'm craving for Pho , Lemon grass chicken or Beef Cube on rice , this is the place to go ."], "output": "['Lemon', ['craving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to this restaurant more than a dozen times and when I 'm craving for Pho , Lemon grass chicken or Beef Cube on rice , this is the place to go ."], "output": "['Beef', ['craving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh yes , and if you are a fan of Indian oldies film stars , there are plenty of portraits of Indian actors and actresses in classic black white that adorn the walls , some of which , I would love to know where they obtained ."], "output": "['portraits', ['plenty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is spectacular , from the appitizers to the main course , and then of course the desserts , ( WOW ) you 'll need no more ."], "output": "['food', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is spectacular , from the appitizers to the main course , and then of course the desserts , ( WOW ) you 'll need no more ."], "output": "['appitizers', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is spectacular , from the appitizers to the main course , and then of course the desserts , ( WOW ) you 'll need no more ."], "output": "['main', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is spectacular , from the appitizers to the main course , and then of course the desserts , ( WOW ) you 'll need no more ."], "output": "['desserts', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My fish was delicious in an incredible curry sauce ."], "output": "['fish', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My fish was delicious in an incredible curry sauce ."], "output": "['curry', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are in search of the most authentic NYC deli experience look no further than the famous and historic Katz 's Deli down on the Lower East Side ."], "output": "['deli', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even upon delivery , their juicy pork buns are quite good . ."], "output": "['pork', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['Thai', ['Average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['delivery', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The space is nice but when we order our drink we were in for a surprise ."], "output": "['space', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The space is nice but when we order our drink we were in for a surprise ."], "output": "['drink', ['surprise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Joe 's Pizza used to have the best slice until this pizzeria opened up ."], "output": "['slice', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And they provided a delicious dessert on the house !"], "output": "['dessert', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are still living in the dark ages and do not have an answering machine , so if you want to make a reservation you are limited ."], "output": "['reservation', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pastas', ['rich']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pizza', ['fresh', 'doughy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good , but not what I would consider out of this world ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , it 's fabulous and their prices are so cheap !"], "output": "['Pad', ['Try', 'fabulous', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , it 's fabulous and their prices are so cheap !"], "output": "['prices', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great and inexpensive ."], "output": "['Food', ['great', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price very reasonable ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dessert - ca n't be missed , so save room ! ! !"], "output": "['Dessert', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ingredients are organic which is a real plus for me ."], "output": "['Ingredients', ['organic', 'plus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It was so bad I actually refused to pay for my food ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend this spot to anyone who enjoys fine cuisine at reasonable prices ."], "output": "['cuisine', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend this spot to anyone who enjoys fine cuisine at reasonable prices ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was very attentive , the ambience lovely , and the food superb ."], "output": "['staff', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was very attentive , the ambience lovely , and the food superb ."], "output": "['ambience', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was very attentive , the ambience lovely , and the food superb ."], "output": "['food', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love when restaurants think using fancy expensive ingrediants makes the food fine cuisine , even with no idea how to use them ."], "output": "['ingrediants', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love when restaurants think using fancy expensive ingrediants makes the food fine cuisine , even with no idea how to use them ."], "output": "['cuisine', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I love when restaurants think using fancy expensive ingrediants makes the food fine cuisine , even with no idea how to use them ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -the service too -- but what really MADE this place was the backyard dining area ."], "output": "['Pizza', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -the service too -- but what really MADE this place was the backyard dining area ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -the service too -- but what really MADE this place was the backyard dining area ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters are sweet , the food is tasty and the bill is never too large ."], "output": "['waiters', ['sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters are sweet , the food is tasty and the bill is never too large ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters are sweet , the food is tasty and the bill is never too large ."], "output": "['bill', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was superb , they treat you like family ."], "output": "['service', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We all had the tasting menu and unlike some of the other reviews , I felt there was more than enough food ."], "output": "['food', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu may be small , but everything on it is delicious ."], "output": "['menu', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They had scrapped the bottom of the vessel in which they make the rice -RESULT - WE HAD LARGE CHUNKS OF BURNT RICE IN OUR SERVING BOWL ."], "output": "['RICE', ['BURNT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- for dessert we split chocolate cake and vanilla gelato ( with espresso ) , which were tasty , but I thought a bit overpriced ."], "output": "['chocolate', ['tasty', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- for dessert we split chocolate cake and vanilla gelato ( with espresso ) , which were tasty , but I thought a bit overpriced ."], "output": "['vanilla', ['tasty', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["- for dessert we split chocolate cake and vanilla gelato ( with espresso ) , which were tasty , but I thought a bit overpriced ."], "output": "['dessert', ['tasty', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warm , comfortable surroundings , nice appointments ( witness the etched glass and brickwork separating the dining rooms ) ."], "output": "['surroundings', ['Warm', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warm , comfortable surroundings , nice appointments ( witness the etched glass and brickwork separating the dining rooms ) ."], "output": "['dining', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The well mannered , pleasant staff that Tony has in his employ ."], "output": "['staff', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The flavors robust and subtle ."], "output": "['flavors', ['robust', 'subtle']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All I can say is $ 2 pints during happy hour and the some of the cheapest oysters you 'll find in the city , though the quality is some of the best ."], "output": "['oysters', ['cheapest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All I can say is $ 2 pints during happy hour and the some of the cheapest oysters you 'll find in the city , though the quality is some of the best ."], "output": "['quality', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would never wait for a table to eat , it just is not THAT great ."], "output": "['table', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We concluded with tiramisu chocolate cake , both were delicious ."], "output": "['tiramisu', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The counter service is bad ."], "output": "['counter', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['Service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is such a lovely , peaceful place to eat outside ."], "output": "['place', ['lovely', 'peaceful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sauce is delicious and the crust is perfect ."], "output": "['sauce', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sauce is delicious and the crust is perfect ."], "output": "['crust', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You will pay a lot for the decore , but the food is no better or worse than a lot of other Chinese and Asian fusion places in NY ."], "output": "['decore', ['pay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You will pay a lot for the decore , but the food is no better or worse than a lot of other Chinese and Asian fusion places in NY ."], "output": "['food', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have some great entrees here as well ."], "output": "['entrees', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is not consistently excellent -- just decent ."], "output": "['service', ['not', 'decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , served in small tasting portions ( as an option ) is very good with each dish being better than the next ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , served in small tasting portions ( as an option ) is very good with each dish being better than the next ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food , served in small tasting portions ( as an option ) is very good with each dish being better than the next ."], "output": "['dish', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the mango chicken and i ca n't go on to tell you how delicious that was and the presentation was beautiful ."], "output": "['mango', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the mango chicken and i ca n't go on to tell you how delicious that was and the presentation was beautiful ."], "output": "['presentation', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Oh , but wait , we were out of drinks ( which were also delightfully overpriced ) ."], "output": "['drinks', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is fantastic ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The garlic mashed potatoes are hands down the best in the city !"], "output": "['garlic', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food and service was okay ."], "output": "['Food', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food and service was okay ."], "output": "['service', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lamb meat was under-cooked and EXTRMELY CHEWY ."], "output": "['lamb', ['under-cooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best pad thai i 've ever had ."], "output": "['pad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over time , the food quality has decreased substantially , it is a lot less crowded than it used to , and the service must definitely be part of the reason ."], "output": "['food', ['decreased']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this is a pretty place in that overly cute French way , the food was insultingly horrible ."], "output": "['place', ['pretty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this is a pretty place in that overly cute French way , the food was insultingly horrible ."], "output": "['food', ['insultingly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went there for lunch and it was not as good as I expected from the reviews I read ."], "output": "['lunch', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is n't great , and the desserts are shipped in from Bruno 's down the street , which is not as good as it used to be ."], "output": "['wine', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is n't great , and the desserts are shipped in from Bruno 's down the street , which is not as good as it used to be ."], "output": "['desserts', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their coffee is quite good too !"], "output": "['coffee', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great wine list ( italian ) , good food , service was INITIALLY fine ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great wine list ( italian ) , good food , service was INITIALLY fine ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great wine list ( italian ) , good food , service was INITIALLY fine ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite the fact that the space is large , they 've overcrowded the floor with tables ."], "output": "['space', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite the fact that the space is large , they 've overcrowded the floor with tables ."], "output": "['tables', ['overcrowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As far as the service goes , the waitresses were not particularly friendly , but they got the job done ."], "output": "['waitresses', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place , but also become hostile !"], "output": "['place', ['hostile']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Normally that would be improper , however they were all delicious and my host did not complain ."], "output": "['host', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Taxan delicious !"], "output": "['Taxan', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unlike other places in NYC where the sandwiches you want only come as a triple-decker , here you can get what you want in a reasonably-sized portion ( and price ) ."], "output": "['portion', ['reasonably-sized']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Restaurant snobs need not bother , this is a small , neighborhood kind of place ."], "output": "['place', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They could n't even make a salad that was appealing ."], "output": "['salad', ['appealing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Killer Sushi !"], "output": "['Sushi', ['Killer']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Of course the reason its so packed is because the food is so delicious !"], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Staffs are not that friendly , but the taste covers all ."], "output": "['Staffs', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Staffs are not that friendly , but the taste covers all ."], "output": "['taste', ['covers']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Plus they made a perfect martini ."], "output": "['martini', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their Margarita is best I 've had since I 've returned from Naples !"], "output": "['Margarita', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !"], "output": "['sake', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !"], "output": "['Purple', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['tables', ['crammed', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['menu', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['wine', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was actually awful ."], "output": "['food', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are served with a free appetizer and the portions are perfect for lunch ."], "output": "['appetizer', ['free']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They are served with a free appetizer and the portions are perfect for lunch ."], "output": "['portions', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is actually space to breathe and the decor sets the tone for an intimate dinner ."], "output": "['dinner', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went around 9:30 on a Friday and it had died down a bit by then so the service was great !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband and I both ordered the Steak , medium ."], "output": "['Steak', ['medium']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "['rice', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "['sushi', ['bland', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "['seasoning', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has realy fresh sushi and a nice large menu of Japanese classic cuisine ."], "output": "['sushi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has realy fresh sushi and a nice large menu of Japanese classic cuisine ."], "output": "['menu', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi is average and the prices are anything but ."], "output": "['sushi', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I also enjoyed the spinach , the Shanghai low mein , and other attractions ."], "output": "['spinach', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I also enjoyed the spinach , the Shanghai low mein , and other attractions ."], "output": "['Shanghai', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Turned out there was full service upstairs and sat down ."], "output": "['service', ['full']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you have a dumpling fetish i suggest you try some here !"], "output": "['dumpling', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is consistently wonderful - I 've been coming here for years , and the owner has always been accomodating and friendly ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is consistently wonderful - I 've been coming here for years , and the owner has always been accomodating and friendly ."], "output": "['owner', ['accomodating', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters and owners were nonchalant about this and promised to call the exterminator but were n't as dismayed or apologetic as I would have expected ."], "output": "['waiters', ['nonchalant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiters and owners were nonchalant about this and promised to call the exterminator but were n't as dismayed or apologetic as I would have expected ."], "output": "['owners', ['nonchalant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the food was fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['assortment', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['Fatty', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['Boton', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['Sea', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['Sea', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."], "output": "['Blue', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They 're also friendlier here , especially the owner , Kenny ."], "output": "['owner', ['friendlier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the room is not particularly comfortable , once you 're seated you 'll forget about everything except what 's on your plate ."], "output": "['room', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['crew', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['staff', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."], "output": "['ambiance', ['minimal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."], "output": "['eggplant', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."], "output": "['veal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar has various selections and the mixed drink special is a catcher ! 2 for 1 's ."], "output": "['bar', ['various']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar has various selections and the mixed drink special is a catcher ! 2 for 1 's ."], "output": "['mixed', ['catcher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If it is n't for the food ( A+++ ) , it must be the service or the ambience ."], "output": "['food', ['(']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['chef', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['staff', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the ambience , it 's very dark and original ."], "output": "['ambience', ['like', 'dark', 'original']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , not worth the money ."], "output": "['money', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is not worth the prices ."], "output": "['prices', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pick a bagel has the best bagels in the city ."], "output": "['bagels', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You are paying for the atmosphere , which is nice , but can be had in numerous places in Bay Ridge ."], "output": "['atmosphere', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken ."], "output": "['waiting', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken ."], "output": "['seat', ['all']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken ."], "output": "['bar', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish ."], "output": "['food', ['spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish ."], "output": "['dish', ['barely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish ."], "output": "['spice', ['took']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fried dumplings are GREAT !"], "output": "['fried', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the best Chinese style BBQ ribs in the city ."], "output": "['BBQ', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is very simple but comfortable ."], "output": "['decor', ['simple', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We figured we never had Argentinian Pizza before so we grabbed our lunch there , sharing a large Pelligrino , a pizza of two of their specials , one was goat cheese the other blue cheese , and both were excellent ."], "output": "['Pelligrino', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We figured we never had Argentinian Pizza before so we grabbed our lunch there , sharing a large Pelligrino , a pizza of two of their specials , one was goat cheese the other blue cheese , and both were excellent ."], "output": "['goat', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We figured we never had Argentinian Pizza before so we grabbed our lunch there , sharing a large Pelligrino , a pizza of two of their specials , one was goat cheese the other blue cheese , and both were excellent ."], "output": "['blue', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ' kamasutra ' and ' bombay cosmopolitan ' are excellent and will have you tipsy in no time ."], "output": "['kamasutra', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ' kamasutra ' and ' bombay cosmopolitan ' are excellent and will have you tipsy in no time ."], "output": "['bombay', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the perfect date spot for Williamsburg couples ."], "output": "['date', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dim sum here is only so-so ."], "output": "['dim', ['so-so']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 6 and there is much tasty food , all of it fresh and continually refilled ."], "output": "['food', ['tasty', 'fresh', 'refilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just straight up cheap , good food ."], "output": "['food', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seating is ok even though sometimes there 's alot of people ."], "output": "['Seating', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even with a relatively inexpensive botle of wine , if you can call $ 70.00 inexpensive , the cost is through the roof for better than average fare ."], "output": "['botle', ['inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak was very fatty and the sauce was overpowering and not very tasty ."], "output": "['steak', ['fatty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The steak was very fatty and the sauce was overpowering and not very tasty ."], "output": "['sauce', ['overpowering', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff makes you feel at home , the food is great and the atmosphere is WONDERFUL !"], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff makes you feel at home , the food is great and the atmosphere is WONDERFUL !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff makes you feel at home , the food is great and the atmosphere is WONDERFUL !"], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is alright - some stuff is good - some is not ( like the steak dish which tends to be dry ) ."], "output": "['food', ['alright']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is alright - some stuff is good - some is not ( like the steak dish which tends to be dry ) ."], "output": "['steak', ['dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a very diverse menu so its something for everybody ."], "output": "['menu', ['diverse']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was too busy ordering sushi for dinner and then laying it out to eat on the bar to even bring me my check ."], "output": "['staff', ['busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a long-time patron of Mamoun 's , I always figured that I had found the best late night food spot in the city ."], "output": "['food', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagel was huge ."], "output": "['bagel', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['somosas', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chole', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhosas', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhal', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['staff', ['nice', 'stressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['bathroom', ['needs']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was the only thing good about this restaurant ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service -- friendly and attentive ."], "output": "['Service', ['friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very prompt but slightly rushed ."], "output": "['Service', ['prompt', 'rushed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And , atlhough tables opened up next to us and we ASKED for a slightly larger space , they left us awkardly seated ."], "output": "['space', ['larger']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The palak paneer was standard , and I was not a fan of the malai kofta ."], "output": "['palak', ['standard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've dined at Alain Ducasse 's restaurant in Monte Carlo for half the price for the same excellent dining experience ."], "output": "['dining', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yeah , sometimes the service can be slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was no ambiance ."], "output": "['ambiance', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Save your money and do n't waste your calories , go to Margharita 's on Washington Street instead , they have amazing food and the BEST service ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Save your money and do n't waste your calories , go to Margharita 's on Washington Street instead , they have amazing food and the BEST service ."], "output": "['service', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive without being overbearing and each dish we tried was wonderful from the spring rolls to the cod with pineapple tempura ."], "output": "['service', ['attentive', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive without being overbearing and each dish we tried was wonderful from the spring rolls to the cod with pineapple tempura ."], "output": "['dish', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive without being overbearing and each dish we tried was wonderful from the spring rolls to the cod with pineapple tempura ."], "output": "['spring', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive without being overbearing and each dish we tried was wonderful from the spring rolls to the cod with pineapple tempura ."], "output": "['cod', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only weird thing was if we got a bottle , the waitress would have simply multiplied the glass price X4 , which makes no sense whatsoever ."], "output": "['waitress', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They sell special sushi , everything have a topping , sauce and etc ."], "output": "['sushi', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They sell special sushi , everything have a topping , sauce and etc ."], "output": "['sauce', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['place', ['small', 'intimate', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also very good ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I took my girlfriend there for her birthday last night and we had a relaxing , really good meal ."], "output": "['meal', ['relaxing', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would not have been so disappointed with the portions if the qualities were good enough to make up for it , but they were not !"], "output": "['portions', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would not have been so disappointed with the portions if the qualities were good enough to make up for it , but they were not !"], "output": "['qualities', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm happy to have Nosh in the neighborhood and the food is very comforting ."], "output": "['food', ['comforting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good atmosphere , combination of all the hottest music dress code is relatively strict except on Fridays ."], "output": "['atmosphere', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good atmosphere , combination of all the hottest music dress code is relatively strict except on Fridays ."], "output": "['music', ['hottest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good atmosphere , combination of all the hottest music dress code is relatively strict except on Fridays ."], "output": "['dress', ['strict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["love the food ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend Nina 's to anyone who wants to have a romantic dinner in a heart warming surrounding filled with candles and family pictures ."], "output": "['dinner', ['romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend Nina 's to anyone who wants to have a romantic dinner in a heart warming surrounding filled with candles and family pictures ."], "output": "['surrounding', ['heart']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the desserts the group tried got favorable reviews ."], "output": "['desserts', ['favorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There 's something smooth about sipping sake upper east side style ."], "output": "['sake', ['smooth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a nice place to relax and have conversation ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Reuben sandwich ever !"], "output": "['Reuben', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Lucky Strike is a great casual place to just grab a bite to eat ."], "output": "['place', ['great', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wonderful strawberry daiquiries as well !"], "output": "['strawberry', ['Wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Going to Volare is like going to your favorite aunt 's house for dinner , assuming that your aunt is a great Italian cook ."], "output": "['dinner', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi has been from average to below average , the wait service has always been subpar the atmosphere goes from nice to really irritating ( if you sit in the area beyond the kitchen , the acousitcs are horrid , everything echoes is extremely loud ) ."], "output": "['sushi', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi has been from average to below average , the wait service has always been subpar the atmosphere goes from nice to really irritating ( if you sit in the area beyond the kitchen , the acousitcs are horrid , everything echoes is extremely loud ) ."], "output": "['wait', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi has been from average to below average , the wait service has always been subpar the atmosphere goes from nice to really irritating ( if you sit in the area beyond the kitchen , the acousitcs are horrid , everything echoes is extremely loud ) ."], "output": "['atmosphere', ['irritating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi has been from average to below average , the wait service has always been subpar the atmosphere goes from nice to really irritating ( if you sit in the area beyond the kitchen , the acousitcs are horrid , everything echoes is extremely loud ) ."], "output": "['area', ['loud']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Frites were delicious if a bit on the thick side ."], "output": "['Frites', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend putting your name down and then getting a drink at a local bar first though because of the wait time ."], "output": "['drink', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend putting your name down and then getting a drink at a local bar first though because of the wait time ."], "output": "['bar', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork ."], "output": "['egg', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , the best bagel in town ."], "output": "['bagel', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Light , refreshing summer rolls ( not fried ) remind me of Vietnamese places in Paris ."], "output": "['summer', ['refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi seemed pretty fresh and was adequately proportioned ."], "output": "['sushi', ['fresh', 'proportioned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but the service was a bit slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['Spreads', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['toppings', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I saw that their website had a link to da Ciro in Napoli , I knew there was going to be good pizza !"], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Indoor was very cozy and cute ."], "output": "['Indoor', ['cozy', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a 3 hour brunch- they definitely do not rush you- and they kept the unlimited mimosas flowing the whole time ."], "output": "['mimosas', ['unlimited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And their prices are very high - they actually think that they can get away with charging such prices for such terrible food and service !"], "output": "['prices', ['high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And their prices are very high - they actually think that they can get away with charging such prices for such terrible food and service !"], "output": "['food', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And their prices are very high - they actually think that they can get away with charging such prices for such terrible food and service !"], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent , the food was excellent , but the entire experience was very cool ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent , the food was excellent , but the entire experience was very cool ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and the resturant is clean ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great spot , whether looking for a couple of drinks or quiet dinner ."], "output": "['dinner', ['quiet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great spot , whether looking for a couple of drinks or quiet dinner ."], "output": "['spot', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just stick with the small dishes !"], "output": "['dishes', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cafe itself was really nice with comfortable outdoor chairs and tables , but the service could have been better ."], "output": "['cafe', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cafe itself was really nice with comfortable outdoor chairs and tables , but the service could have been better ."], "output": "['outdoor', ['comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cafe itself was really nice with comfortable outdoor chairs and tables , but the service could have been better ."], "output": "['tables', ['comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cafe itself was really nice with comfortable outdoor chairs and tables , but the service could have been better ."], "output": "['service', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've rarely had a problem with slow staff in the 10 years I 've been going ."], "output": "['staff', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is excellent ."], "output": "['Food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "['lettuce', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "['walnuts', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent lunch buffet for only $ 6.95 ."], "output": "['lunch', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["both are very reasonably priced ( around $ 8 for dinner and $ 5 for lunch ) , and are delicious and filling ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["both are very reasonably priced ( around $ 8 for dinner and $ 5 for lunch ) , and are delicious and filling ."], "output": "['dinner', ['delicious', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["both are very reasonably priced ( around $ 8 for dinner and $ 5 for lunch ) , and are delicious and filling ."], "output": "['lunch', ['delicious', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is so cute and quaint , good for business although we were there on vacation ."], "output": "['Ambience', ['cute', 'quaint', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['portion', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend ate tuna and it was cooked perfectly !"], "output": "['tuna', ['perfectly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good food at the restaurant ( a bit expensive , but great if you want to impress your date ) ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['caviar', ['delicious', 'top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You ca n't say its cheap because food is cheaper in Chinatown ."], "output": "['food', ['cheaper']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have eaten there 3-4 times and the food was always good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great eats , good times ."], "output": "['eats', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Grilled whole fish wonderful , great spicing ."], "output": "['fish', ['wonderful', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For years , I thought Tuscan cuisine was the best , but Salvatore converted me to the hearty Neapolitan fare on my first visit ."], "output": "['Tuscan', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For years , I thought Tuscan cuisine was the best , but Salvatore converted me to the hearty Neapolitan fare on my first visit ."], "output": "['Neapolitan', ['hearty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was great as well ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Another plus is most of the entrees are approx ."], "output": "['entrees', ['plus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious , the atmosphere was relaxed , and we have now adopted Plate 347 as our Secret on Second !"], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious , the atmosphere was relaxed , and we have now adopted Plate 347 as our Secret on Second !"], "output": "['atmosphere', ['relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the moment we walked in they were more than accomodating even though the place was packed ."], "output": "['place', ['packed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['service', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['value', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate at this Thai place following the reviews but very unhappy with the foods ."], "output": "['foods', ['unhappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is definitely good , but I left a bit disappointed ."], "output": "['food', ['good', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are a saving grace , but service staff , please , get over yourselves ."], "output": "['drinks', ['saving']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is a downside if you 're ordering in -- the delivery guys have MAJOR attitude ."], "output": "['delivery', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The all-Italian staff is warm and engaging from the start ."], "output": "['staff', ['warm', 'engaging']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The prices are exceptionally reasonable for food of this caliber ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The filet mignon dish was superb !"], "output": "['filet', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had been a regular due to the consistently good food and ease of getting a table ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had been a regular due to the consistently good food and ease of getting a table ."], "output": "['getting', ['ease']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , I ca n't lie ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["great food , lt 's of it , more then one person can eat !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did n't expect to like Nosh as much as I did , but the pastrami on challah sandwich I had was otherworldly , the soups are like Mom 's , and the knishes give Yonah Schimmel 's a run for its money ."], "output": "['pastrami', ['otherworldly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is nothing special , but it feels like a Sushi establishment in Tokyo ."], "output": "['atmosphere', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cozy romantic atomosphere with only around 15 tables at most ."], "output": "['atomosphere', ['Cozy', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is worth going even if only for their beer ."], "output": "['beer', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['ambience', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['prices', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sandwhiches are out of this world !"], "output": "['sandwhiches', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is charming ."], "output": "['Decor', ['charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very well prepared ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Really tasty spring rolls and noodles for a good price though ."], "output": "['spring', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Really tasty spring rolls and noodles for a good price though ."], "output": "['noodles', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Really tasty spring rolls and noodles for a good price though ."], "output": "['price', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , because hey , it 's more food , but bad because dim sum is supposed to be smaller portions so you can try out more dishes and smaller so that each dish is cheap ."], "output": "['dim', ['bad', 'smaller']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , because hey , it 's more food , but bad because dim sum is supposed to be smaller portions so you can try out more dishes and smaller so that each dish is cheap ."], "output": "['food', ['more']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , because hey , it 's more food , but bad because dim sum is supposed to be smaller portions so you can try out more dishes and smaller so that each dish is cheap ."], "output": "['portions', ['smaller']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , because hey , it 's more food , but bad because dim sum is supposed to be smaller portions so you can try out more dishes and smaller so that each dish is cheap ."], "output": "['dishes', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , because hey , it 's more food , but bad because dim sum is supposed to be smaller portions so you can try out more dishes and smaller so that each dish is cheap ."], "output": "['dish', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While most people can attest to spending over $ 50 on drinks in New York bars and hardly feeling a thing , the drinks here are plentiful and unique ."], "output": "['drinks', ['plentiful', 'unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Complimentary stuff kept coming , and when the waiter saw me opening a gift , I received my dessert on a plate that had Happy Birthday written on it , with a candlevery nice touch , and attentive staff ."], "output": "['stuff', ['Complimentary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Complimentary stuff kept coming , and when the waiter saw me opening a gift , I received my dessert on a plate that had Happy Birthday written on it , with a candlevery nice touch , and attentive staff ."], "output": "['staff', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food arrived 20 minutes after I called , cold and soggy ."], "output": "['food', ['cold', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go for the pre-theatre menu , it 's an even greater deal ."], "output": "['pre-theatre', ['greater']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are someone who appreciates simplicity , elegance , and wonderfully presented and tasting seafood and vegetables regardless of portion size , Kai is your place ."], "output": "['seafood', ['wonderfully', 'tasting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are someone who appreciates simplicity , elegance , and wonderfully presented and tasting seafood and vegetables regardless of portion size , Kai is your place ."], "output": "['vegetables', ['wonderfully', 'tasting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Little Tonino 's is just awesome , our favorite delivery place in Kennsington , honestly the best Gnochi I have ever had !"], "output": "['Gnochi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["INCREDIBLY POOR SERVICE AN FOOD QUALITY AT EXORBITANT PRICES ."], "output": "['SERVICE', ['POOR']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["INCREDIBLY POOR SERVICE AN FOOD QUALITY AT EXORBITANT PRICES ."], "output": "['FOOD', ['POOR']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["INCREDIBLY POOR SERVICE AN FOOD QUALITY AT EXORBITANT PRICES ."], "output": "['PRICES', ['EXORBITANT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been about 4 times and have always had a great meal ."], "output": "['meal', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We usually just get some of the dinner specials and they are very reasonably priced and very tasty ."], "output": "['dinner', ['reasonably', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We usually just get some of the dinner specials and they are very reasonably priced and very tasty ."], "output": "['priced', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Horrible food and horrible service ."], "output": "['food', ['Horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Horrible food and horrible service ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine and cheese plate are plentiful and ca n't wait to try the fondue or table grilling ."], "output": "['wine', ['plentiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine and cheese plate are plentiful and ca n't wait to try the fondue or table grilling ."], "output": "['cheese', ['plentiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They treated us well and the food was extremely fresh and well-prepared ."], "output": "['food', ['fresh', 'well-prepared']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their exotic salad is basic ly a delicious little green salad with a peanut sauce that is perfect before their sweet basil fried tofu ."], "output": "['exotic', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their exotic salad is basic ly a delicious little green salad with a peanut sauce that is perfect before their sweet basil fried tofu ."], "output": "['green', ['delicious', 'little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their exotic salad is basic ly a delicious little green salad with a peanut sauce that is perfect before their sweet basil fried tofu ."], "output": "['peanut', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THE BIG COMPLAINT : NO TOASTING AVAILABLE ."], "output": "['TOASTING', ['COMPLAINT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['food', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['garden', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Volare virgins or weekly regulars , everyone gets treated the same and you ca n't ask for more than that when the service is this friendly ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food came out wrong , the waiter was no where to be found and the wine showed up at the end of the meal ."], "output": "['food', ['wrong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken and steak were seasoned and cooked to perfection , and the lamb sandwhich is great for heartier appetites ."], "output": "['chicken', ['seasoned', 'perfection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken and steak were seasoned and cooked to perfection , and the lamb sandwhich is great for heartier appetites ."], "output": "['steak', ['seasoned', 'perfection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken and steak were seasoned and cooked to perfection , and the lamb sandwhich is great for heartier appetites ."], "output": "['lamb', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["No you 're going to go back because the food was good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was great and the service was even better ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was great and the service was even better ."], "output": "['service', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this can hardly be called a restaurant , it is possibly the best deal in Manhatten : $ 4 for a plate heaped with rice and 2-3 entrees ."], "output": "['rice', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While this can hardly be called a restaurant , it is possibly the best deal in Manhatten : $ 4 for a plate heaped with rice and 2-3 entrees ."], "output": "['entrees', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['Traditional', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['hall', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish is fresh and each piece is sliced to perfection and seasoned by the sushi chef ( usually with a little fresh wasabi and soy sauce but also sometimes with some sea salt ) ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish is fresh and each piece is sliced to perfection and seasoned by the sushi chef ( usually with a little fresh wasabi and soy sauce but also sometimes with some sea salt ) ."], "output": "['sushi', ['seasoned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish is fresh and each piece is sliced to perfection and seasoned by the sushi chef ( usually with a little fresh wasabi and soy sauce but also sometimes with some sea salt ) ."], "output": "['wasabi', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My son and his girlfriend both wanted cheeseburgers and they were huge !"], "output": "['cheeseburgers', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really recommend the very simple Unda ( Egg ) rolls ."], "output": "['Unda', ['recommend', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good wine choices ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the only Thai place I go too in NYC , it 's wonderful , and live relaxed Jazz on certain nights ."], "output": "['Jazz', ['relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were seated and ignored by waitstaff ."], "output": "['waitstaff', ['ignored']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tasty steak , pork loin , the works ."], "output": "['steak', ['Tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tasty steak , pork loin , the works ."], "output": "['pork', ['Tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['setting', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['service', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The burger was great , also ."], "output": "['burger', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they did give a 15 % discount at the end , was n't enough , as they knew the service was horrible ."], "output": "['discount', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["they did give a 15 % discount at the end , was n't enough , as they knew the service was horrible ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was great ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had never had Edamame pureed before but I thought it was innovative and tasty ( could 've used a bit more salt ) ."], "output": "['Edamame', ['innovative', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["however , it 's the service that leaves a bad taste in my mouth ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price was extremely reasonable for the appetizers and food we ate ."], "output": "['price', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't dine at Tamarind for the vegetarian dishes , they are simply not up to par with the non-veg selections ."], "output": "['vegetarian', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They need a kick out of it but until then the sushi is pretty good and the place is consistent ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They need a kick out of it but until then the sushi is pretty good and the place is consistent ."], "output": "['place', ['consistent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've had to wait only a few times during lunch but this place is definitely worth the wait ."], "output": "['wait', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've had to wait only a few times during lunch but this place is definitely worth the wait ."], "output": "['wait', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All in all the food was above average and I would return to see how they operate with four or less dinners ."], "output": "['food', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['food', ['Delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['atmosphere', ['pretty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['lunch', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['dinner', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !"], "output": "['lunch', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For appetizers , I recommend the shrimp fritters and dumplings ."], "output": "['shrimp', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For appetizers , I recommend the shrimp fritters and dumplings ."], "output": "['dumplings', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Such nice people working here - but I have to review the food ."], "output": "['people', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is dark and not very attractive and then you have spot lights shining on you putting you in the worst light possible , reaching for sunglasses ."], "output": "['spot', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Veal Parmigana - Better than Patsy 's !"], "output": "['Veal', ['Better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine , great food ."], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was mediocre , and the lack of air conditioning made for a less than comfortable meal ."], "output": "['service', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was mediocre , and the lack of air conditioning made for a less than comfortable meal ."], "output": "['air', ['lack']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was mediocre , and the lack of air conditioning made for a less than comfortable meal ."], "output": "['meal', ['comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food and staff always surprise me with the new heights they are taken to ."], "output": "['food', ['surprise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food and staff always surprise me with the new heights they are taken to ."], "output": "['staff', ['surprise']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Went to Ottimo and was expecting outstanding pizza ( as I love La Pizza Fresca ) ."], "output": "['pizza', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["honestly the worst sushi my husband and i had in our entire lives ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place ."], "output": "['price', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place ."], "output": "['decor', ['do']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What makes this restaurant special are the authentic sichuan cooking and being the only one in NYC that offers authentic chongqing hotpot ."], "output": "['sichuan', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What makes this restaurant special are the authentic sichuan cooking and being the only one in NYC that offers authentic chongqing hotpot ."], "output": "['chongqing', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our tiny table for two ( dinner plates hung over edge ) was right in the middle of one of the lanes of waiter traffic ."], "output": "['table', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sake collection was excellent ( Try Nanbu Bijin ) , but pricey ."], "output": "['Sake', ['excellent', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sake collection was excellent ( Try Nanbu Bijin ) , but pricey ."], "output": "['Nanbu', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting other dishes for a change include chicken in curry sauce and salmon caserole ."], "output": "['dishes', ['Interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting other dishes for a change include chicken in curry sauce and salmon caserole ."], "output": "['chicken', ['Interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting other dishes for a change include chicken in curry sauce and salmon caserole ."], "output": "['salmon', ['Interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of my favorites though was the Angry Lobster , a cold lobster salad that was magnificent ."], "output": "['Angry', ['favorites']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of my favorites though was the Angry Lobster , a cold lobster salad that was magnificent ."], "output": "['cold', ['magnificent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ask for Usha , the nicest bartender in manhattan ."], "output": "['bartender', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is outstanding and my crab-cake eggs benedict could not have been better ."], "output": "['service', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is outstanding and my crab-cake eggs benedict could not have been better ."], "output": "['crab-cake', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['decor', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['bathrooms', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['location', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['prices', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A wonderful place !"], "output": "['place', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was on par but not wonderful ."], "output": "['Service', ['on', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Deliveries often take up to an hour and the prices are higher than most other pizzerias in the area ."], "output": "['prices', ['higher']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind of a small place but I guess if they are not too busy might be able to fit a group or kids ."], "output": "['place', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We also ordered two hot dogs thinking they would be pretty good since there is a whole section on the menu devoted to them ."], "output": "['hot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Because of the delicate thin crust , take-out pies get soggy in their boxes ."], "output": "['take-out', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Because of the delicate thin crust , take-out pies get soggy in their boxes ."], "output": "['crust', ['delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is always very crowded and popular ."], "output": "['place', ['crowded', 'popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like the food and the value you get from some of Chinatown restaurants , this is not the place for you ."], "output": "['food', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like the food and the value you get from some of Chinatown restaurants , this is not the place for you ."], "output": "['value', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The selection changes frequently but the basic dishes are always available ."], "output": "['selection', ['changes']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The selection changes frequently but the basic dishes are always available ."], "output": "['basic', ['available']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to say that if this what makes it easier to get a saet a lunch -- I dont mind ."], "output": "['lunch', ['easier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were told that they were booked solid and no other table was available ."], "output": "['table', ['available']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaraurant is very small so reservations are a must ."], "output": "['reservations', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After dealing with subpar pizza all over the Kensington neighborhood - I 've found little toninos ."], "output": "['pizza', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was typical short-order , dinner type ."], "output": "['service', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Each table has a pot of boiling water sunken into its surface , and you get platters of thin sliced meats , various vegetables , and rice and glass noodles ."], "output": "['meats', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Each table has a pot of boiling water sunken into its surface , and you get platters of thin sliced meats , various vegetables , and rice and glass noodles ."], "output": "['vegetables', ['various']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Judging from previous posts this used to be a good place , but not any longer ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude ."], "output": "['staff', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['food', ['lousy', 'too', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['portions', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Avoid this place !"], "output": "['place', ['Avoid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have eaten at Saul , many times , the food is always consistently , outrageously good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Saul is the best restaurant on Smith Street and in Brooklyn ."], "output": "['Saul', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['foie', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['duck', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is interesting and has many good values ."], "output": "['wine', ['interesting', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was very disappointed with this restaurant ."], "output": "['restaurant', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was okay , nothing great ."], "output": "['Food', ['okay', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family ."], "output": "['Chow', ['dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family ."], "output": "['pork', ['greasy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I/we will never go back to this place again ."], "output": "['place', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['Service', ['devine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['oysters', ['sensual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['decor', ['cool', 'understated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the duck breast special on my last visit and it was incredible ."], "output": "['duck', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very average ... the Thai fusion stuff is a bit too sweet , every thing they serve is too sweet here ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very average ... the Thai fusion stuff is a bit too sweet , every thing they serve is too sweet here ."], "output": "['Thai', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree ."], "output": "['Grilled', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had never had Edamame pureed before but I thought it was innovative and tasty ( could 've used a bit more salt ) ."], "output": "['Edamame', ['innovative', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['place', ['sleek', 'modern']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['decor', ['night']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['vent', ['un-appetizing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !"], "output": "['sake', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['spicy', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['rock', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went around 9:30 on a Friday and it had died down a bit by then so the service was great !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["we love th pink pony ."], "output": "['pink', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe perfect spot ."], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food awesome ."], "output": "['Food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service friendly and attentive ."], "output": "['Service', ['friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance relaxed and stylish ."], "output": "['Ambiance', ['relaxed', 'stylish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the food is decent ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["however , it 's the service that leaves a bad taste in my mouth ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i happen to have a policy that goes along with a little bit of self-respect , which includes not letting a waiter intimidate me , i.e . make me feel bad asking for trivialities like water , or the check ."], "output": "['waiter', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has got to be the best japanese restaurant in the new york area ."], "output": "['place', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great ."], "output": "['Food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is top notch ."], "output": "['Service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ."], "output": "['sea', ['heavenly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi seemed pretty fresh and was adequately proportioned ."], "output": "['sushi', ['fresh', 'proportioned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice to fish ration was also good -- they did n't try to overpack the rice ."], "output": "['rice', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We took advanatage of the half price sushi deal on saturday so it was well worth it ."], "output": "['half', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In the evening , this place attracted a well dressed , with it , NY crowd ."], "output": "['crowd', ['attracted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['service', ['impecable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ."], "output": "['Prix', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 6 and there is much tasty food , all of it fresh and continually refilled ."], "output": "['food', ['tasty', 'fresh', 'refilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am not a vegetarian but , almost all the dishes were great ."], "output": "['dishes', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here is rather good , but only if you like to wait for it ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['somosas', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chole', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhosas', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhal', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service varys from day to day- sometimes they 're very nice , and sometimes not ."], "output": "['service', ['varys']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The kitchen however , is almost always slow ."], "output": "['kitchen', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , specify if you like your food spicy- its rather bland if you do n't ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is pretty and nice for conversation , so a casual lunch here would probably be best ."], "output": "['ambience', ['pretty', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lava cake dessert was incredible and I recommend it ."], "output": "['lava', ['incredible', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Once you step into Cosette , you 're miraculously in a small , off-the-beaten path Parisian bistro ."], "output": "['Cosette', ['off-the-beaten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This tiny restaurant is as cozy as it gets , with that certain Parisian flair ."], "output": "['restaurant', ['tiny', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['French', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['desserts', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['pizza', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['cheese', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is overpriced and soggy ."], "output": "['pizza', ['overpriced', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['ingredients', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I think I 've had some the best meals of my life at minnow ."], "output": "['meals', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['seafood', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['menu', ['ever-changing', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of super-fresh ingredients in the dishes are unusual but really delicious ."], "output": "['ingredients', ['super-fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['Pastrami', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['portion', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife had the fried shrimp which are huge and loved it ."], "output": "['fried', ['huge', 'loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a Japanese native , I 've lived in the Tristate area for over 8 years , but I was just so amazed at this place ."], "output": "['place', ['amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is the most Japanese it can ever get ."], "output": "['place', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['signs', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['specials', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['food', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['waitstaff', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is worth an one-hour drive ."], "output": "['place', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['Leon', ['casual', 'hip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['specials', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['atmosphere', ['warm', 'lively']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['French', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ."], "output": "['staff', ['enjoy', 'young', 'not', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent wine at reasonable prices ."], "output": "['wine', ['Decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is by far my favorite place in the neighborhood ."], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm partial to the Gnocchi ."], "output": "['Gnocchi', ['partial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is incredibly tiny ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess is rude to the point of being offensive ."], "output": "['hostess', ['rude', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was bland oily ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were worried we would have trouble getting in , but somehow managed to have a short wait ."], "output": "['wait', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As always we had a great glass of wine while we waited ."], "output": "['glass', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When we sat , we got great and fast service ."], "output": "['service', ['great', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people that work there are always so friendly you forget you are in New York sometimes ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Make sure you try this place as often as you can ."], "output": "['place', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a fun restaurant to go to ."], "output": "['restaurant', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['pizza', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['atmoshpere', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the pizza is way to expensive ."], "output": "['pizza', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went there for lunch and it was not as good as I expected from the reviews I read ."], "output": "['lunch', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sauce was watery and the food did n't have much flavor ."], "output": "['Sauce', ['watery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is great ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['waitress', ['patient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['food', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt , friendly and great ."], "output": "['Service', ['prompt', 'friendly', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a small wait , but shorter than I expected ."], "output": "['wait', ['small', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the best sushi in new york city - hands down ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['place', ['small', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['thai', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['Planet', ['hit']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the great variety on the menu , I eat here often and never get bored ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."], "output": "['atmosphere', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['rolls', ['big', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['sashimi', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the crunchy tuna , it is to die for ."], "output": "['crunchy', ['Try', 'die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First went here to enjoy their garden terrace ."], "output": "['garden', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['service', ['prompt', 'helpful', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Steak Tartare is a great bet , they fix it for you at the table ."], "output": "['Steak', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "['open', ['charm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "['restaurant', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['Gigondas', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['house', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['vibe', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['French', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have recommended the place to friends , always gets good response ."], "output": "['place', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"], "output": "['crust', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['neighborhood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['setting', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['service', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and I all enjoy Mizu very much ... and we 're repeat customers ."], "output": "['Mizu', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['Moules', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['lobster', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Took my mom for Mother 's Day , and the maitre d ' was pretty rude ."], "output": "['maitre', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tiny dessert was $ 8.00 ... just plain overpriced for what it is ."], "output": "['dessert', ['Tiny', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['drinks', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['wine', ['fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try their chef 's specials -- they are to die for ."], "output": "['chef', ['Try', 'die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not exactly five star , but thats not really a big deal ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downstairs lounge is always a good attraction"], "output": "['Downstairs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Raga 's is a romantic , cozy restaurant ."], "output": "['Raga', ['romantic', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The exotic food is beautifully presented and is a delight in delicious combinations ."], "output": "['exotic', ['beautifully', 'delight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is incredibly helpful and attentive ."], "output": "['staff', ['helpful', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['bar', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['beers', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['wines', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rude service , medicore food ... there are tons of restaurants in NY ... stay away from this one"], "output": "['service', ['Rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rude service , medicore food ... there are tons of restaurants in NY ... stay away from this one"], "output": "['food', ['medicore']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a great time at Jekyll and Hyde !"], "output": "['Jekyll', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['shows', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['actors', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our server was very helpful and friendly ."], "output": "['server', ['helpful', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good too ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['tuna', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['wasabe', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful ."], "output": "['outdoor', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt and courteous ."], "output": "['Service', ['prompt', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['service', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Two complaints -- their appetizer selection stinks , it would be nice to get some mozzarella sticks on the menu ."], "output": "['appetizer', ['complaints']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['Wait', ['unappreciative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['pie', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far the best salad I have had in a fast food restaurant ."], "output": "['salad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fine dining restaurant quality ."], "output": "['dining', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On a recent Sunday afternoon , a friend and I accidently found this great restaurant on our way to see the pulitzer prize winning play DOUBT ."], "output": "['restaurant', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['chicken', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['cheeseburger', ['huge', 'delictable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['service', ['professional', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is no nonsense ."], "output": "['staff', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I lived upstate for a while I would buy freeze the bagels and they would still be better than any else ."], "output": "['bagels', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Worth visiting the 1st Ave spot because it is the original store ."], "output": "['1st', ['Worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He served me an Uni Hand roll , which I never had before , and let me tell you ... IT WAS HEAVEN !"], "output": "['Uni', ['HEAVEN']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sake menu should not be overlooked !"], "output": "['sake', ['overlooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very good - prompt , attentive and non-intrusive ."], "output": "['Service', ['good', 'prompt', 'attentive', 'non-intrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['Wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['wine-by-the-glass', ['generously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['Traditional', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['hall', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to at Cafe Spice probably 5-8 times , it is probably still the best Indian restaurant around Union Square ."], "output": "['Cafe', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To sum it up : Service varies from good to mediorce , depending on which waiter you get ; generally it is just average Ok ."], "output": "['Service', ['varies']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seating is always prompt , though the restaurant does fill up in the evening ."], "output": "['Seating', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['raw', ['wondered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['decor', ['vibrant', 'eye-pleasing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['semi-private', ['eye-pleasing', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have NEVER been disappointed in the Red Eye ."], "output": "['Red', ['NEVER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time I went , and was completely taken by the live jazz band and atmosphere , I ordered the Lobster Cobb Salad ."], "output": "['live', ['taken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time I went , and was completely taken by the live jazz band and atmosphere , I ordered the Lobster Cobb Salad ."], "output": "['atmosphere', ['taken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's simply the best meal in NYC ."], "output": "['meal', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If we were to move from the upper east side , we would genuinely miss this restaurant ."], "output": "['restaurant', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is cute but not upscale ."], "output": "['restaurant', ['cute', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['food', ['diamond']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['balance', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a great time at the Jekyll and hyde Pub last night ."], "output": "['Jekyll', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "['bar', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The server was really cool and served us our food and drinks with a smile ."], "output": "['server', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['decor', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['hidden', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend visiting this restaurant and having dinner and drinks !"], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are the type of person who likes being scared and entertained , this is a great place to go and eat ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband and I thougt it would be great to go to the Jekyll and Hyde Pub for our anniversary , and to our surprise it was fantastic ."], "output": "['Jekyll', ['great', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['beers', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['pumkin', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entertainment was great they have shows that go on through out the dinner ."], "output": "['entertainment', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagel was huge ."], "output": "['bagel', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The workers there also absolutely load the bagel with cream cheese ( gets a little messy ) ."], "output": "['bagel', ['messy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This was my frist time at Cafe St. Bart 's and I must say how delicious the food and the service was ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster ."], "output": "['lobster', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster ."], "output": "['lobster', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['pizza', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['santa', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['fish', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['ambience', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['service', ['recommend', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the staff is absolutely professional ! !"], "output": "['staff', ['professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This restaurant was way overhyped ."], "output": "['restaurant', ['overhyped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My chow fun and chow see was really bland and oily ."], "output": "['chow', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['scallion', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['fried', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was the only thing good about this restaurant ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['sushi', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['tuna', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['rolls', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their pad penang is delicious and everything else is fantastic ."], "output": "['pad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is reasonable although the service is poor ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fresh restaurant was amazing ... ... .. food was delicious and of course fresh ."], "output": "['fresh', ['fresh', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fresh restaurant was amazing ... ... .. food was delicious and of course fresh ."], "output": "['food', ['delicious', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Hats off to the chef ."], "output": "['chef', ['Hats']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the salads are delicious , both refreshing and very spicy ."], "output": "['salads', ['delicious', 'refreshing', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had Pam 's special fried fish and it was amazing ."], "output": "['Pam', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great vibe , lots of people ."], "output": "['vibe', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did n't complain , I liked the atmosphere so much ."], "output": "['atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is so cute and quaint , good for business although we were there on vacation ."], "output": "['Ambience', ['cute', 'quaint', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads were fantastic ."], "output": "['Salads', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ingredients are organic which is a real plus for me ."], "output": "['Ingredients', ['organic', 'plus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is some really good , inexpensive sushi ."], "output": "['sushi', ['good', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy Tuna roll is huge and probably the best that I 've had at this price range ."], "output": "['spicy', ['huge', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Yellowtail was particularly good as well ."], "output": "['Yellowtail', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have reservations about the all you can eat deal , however -- the choices are fairly limited and you can probably order more food than you can eat for less than $ 18 by just going off the menu ."], "output": "['all', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Big Wong gets big Ups for a fine establishment ."], "output": "['Big', ['big', 'fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['atmosphere', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['waiters', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The takeout is great too since they give high quality tupperware as well ."], "output": "['takeout', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is always very crowded and popular ."], "output": "['place', ['crowded', 'popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese ... .both very tasty ."], "output": "['Caesar', ['Enjoyed', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese ... .both very tasty ."], "output": "['arugula', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We both opted for a pasta dish and they were served timely and fresh ."], "output": "['pasta', ['served', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We concluded with tiramisu chocolate cake , both were delicious ."], "output": "['tiramisu', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recently went to this restaurant with some co-workers for lunch and had an amazing time ."], "output": "['restaurant', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['place', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['good', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['dishes', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['wine', ['served']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['atmosphere', ['bustling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And evaluated on those terms Pastis is simply wonderful ."], "output": "['Pastis', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['place', ['nice', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "['raddichio', ['bitter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend got the mushroom pizza which tasted better ."], "output": "['mushroom', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sangria was pretty tasty and good on a hot muggy day ."], "output": "['sangria', ['tasty', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind of a small place but I guess if they are not too busy might be able to fit a group or kids ."], "output": "['place', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I started out with a Bombay beer which was big enough for two ."], "output": "['Bombay', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a nice place to relax and have conversation ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is authentic Italian - delicious !"], "output": "['food', ['authentic', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['Pizza', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['homemade', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['Ambience', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['service', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm still mad that i had to pay for lousy food ."], "output": "['food', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['hanger', ['rubber']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['tuna', ['flavorless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['Service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['ambience', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The filet mignon dish was superb !"], "output": "['filet', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a small cute restaurant ."], "output": "['restaurant', ['small', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I absolutely love this place ! ! !"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the ambience , it 's very dark and original ."], "output": "['ambience', ['like', 'dark', 'original']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi is amazing ! ! !"], "output": "['sushi', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very affordable and excellent ambient !"], "output": "['ambient', ['affordable', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We wo n't go to this place again for a good meal ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I think this place is a good hang out spot ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My Girlfriend and I stumbled onto this hopping place the other night and had a great time !"], "output": "['place', ['hopping', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['Pizza', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is one the nicest outdoor restaurants I have ever seen in NY -- I am from Italy and this place rivals the ones in my country ."], "output": "['outdoor', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First of all , this place is *not* romantic , as claimed by Citysearch 's editorial review ."], "output": "['place', ['*not*']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['tables', ['crammed', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['menu', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['wine', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Slightly above average wines start at $ 70+ with only one selection listed at $ 30+ ."], "output": "['wines', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not what one would expect from a joint in this price category ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Somehow working the italian charm with constant mille grazie does not constitute proper service ."], "output": "['service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of Teodora ."], "output": "['food', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of Teodora ."], "output": "['Teodora', ['deficiencies']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring ."], "output": "['meals', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring ."], "output": "['rosemary', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish was overdone ."], "output": "['Fish', ['overdone']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['wait', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['place', ['Cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Someone else recommended the dessert - we also left that ."], "output": "['dessert', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of us actually liked the expresso - that 's it ."], "output": "['expresso', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Skip this restaurant , it 's a big disappointment ."], "output": "['restaurant', ['Skip', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Myagi is one of my favorite restaurants in the City ; the place the negative reviews describe sound like they were somewhere else ."], "output": "['Myagi', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['service', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['fish', ['fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their tuna tartar appetizer is to die for ."], "output": "['tuna', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I come from a family of pizzeria owners , and I 'm almost ashamed to say that the pizza in Fornino 's blows my families receipies away ."], "output": "['pizza', ['ashamed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['service', ['prompt', 'curtious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['place', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend to anyone to give this place a try ."], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['atmosphere', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dining room is quietly elegant with no music to shout over -- how refreshing !"], "output": "['dining', ['elegant', 'refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu , present your meal , and attend to your needs ."], "output": "['service', ['impeccable', 'unobtrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['meal', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['restaurant', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['view', ['breathtaking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['ambiance', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff offers impeccable service ."], "output": "['staff', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['New', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['Lobster', ['award']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had Prime Rib it was good ."], "output": "['Prime', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We did n't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough ."], "output": "['bottles', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like spicy food get the chicken vindaloo ."], "output": "['chicken', ['get']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['service', ['1st']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['food', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are large and the servers always surprise us with a different starter ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is excellent ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."], "output": "['selection', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['place', ['small', 'intimate', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['food', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['prixe', ['greatest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['food', ['decent', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['lemon', ['exception']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is very limited - i think we counted 4 or 5 entrees ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat ."], "output": "['grilled', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic , just simple , small and sparse ."], "output": "['decor', ['diner-ish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Problem is nothing at Prune is particularly memorable ."], "output": "['Prune', ['memorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is so much fun ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our family never expected such incredible entertainment in a restaurant ."], "output": "['entertainment', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our food was great too !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And really large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was the friendliest that have seen in New York ."], "output": "['staff', ['friendliest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want something really different than try Jekyll and Hyde ."], "output": "['Jekyll', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty tradional but it was hot and good with large portions ."], "output": "['food', ['tradional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty tradional but it was hot and good with large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a lot of fun ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The characters really make for an enjoyable experience ."], "output": "['characters', ['enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food however , is what one might expect ."], "output": "['food', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I think Jeckll and Hydes t is one of those places that is fun to do once ."], "output": "['Jeckll', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow had to wait to order and get food although not crowded ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drinks way over priced ."], "output": "['Drinks', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good not great not worth the wait or another visit"], "output": "['Food', ['good', 'not', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza for lunch place ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was quick ."], "output": "['Service', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was great ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['fish', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delivery is fast too ."], "output": "['Delivery', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['service', ['Great', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['seating', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['Delivery', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['sushi', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ess-A-Bagel ( either by Sty-town or midtown ) is by far the best bagel in NY ."], "output": "['bagel', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels always warm , soft on the inside , crispy on the outside and enormous in size ."], "output": "['bagels', ['warm', 'soft', 'crispy', 'enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['cream', ['huge', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lox is always fresh too ."], "output": "['lox', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not impressed with the food ."], "output": "['food', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices too high for this cramped and unappealing resturant ."], "output": "['resturant', ['cramped', 'unappealing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Zero ambiance to boot ."], "output": "['ambiance', ['Zero']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought this place was totally overrated ."], "output": "['place', ['overrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['ambience', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['service', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the BEST Shabu-Shabu Restaurant in the Try-State Area ."], "output": "['Shabu-Shabu', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thius is a must for anyone who loves Shabu-Shabu ."], "output": "['Shabu-Shabu', ['loves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is nothing special , but it feels like a Sushi establishment in Tokyo ."], "output": "['atmosphere', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owner and staff are all Japanese as well and that adds to the entire ambiance ."], "output": "['ambiance', ['adds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Taxan delicious !"], "output": "['Taxan', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['location', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['ambience', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try green curry with vegetables ."], "output": "['green', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quantity is also very good , you will come out satisfied ."], "output": "['quantity', ['good', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is ok , some of the people did n't get what they asked for ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the best ravioli ever ."], "output": "['ravioli', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This quaint and romantic trattoria is at the top of my Manhattan restaurant list ."], "output": "['trattoria', ['quaint', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['dishes', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['specials', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['regular', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['candle-light', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['food', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['service', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['tables', ['closely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go , try the marinara/arrabiatta sauce , the mozzarella en Carozza is mmmmmmmm ... .. everything is just delicious ."], "output": "['marinara/arrabiatta', ['try', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go , try the marinara/arrabiatta sauce , the mozzarella en Carozza is mmmmmmmm ... .. everything is just delicious ."], "output": "['mozzarella', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Check out the secret back room ."], "output": "['back', ['secret']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['service', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was authentic ."], "output": "['food', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent - friendly and attentive ."], "output": "['service', ['excellent', 'friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good wine choices ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Who has room for Cheesesticks with the best pizza in NYC !"], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great staff ."], "output": "['staff', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always great service !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , I ca n't lie ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the staff was so horrible to us ."], "output": "['staff', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['waitress', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."], "output": "['place', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."], "output": "['food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Amma is nothing special ."], "output": "['Amma', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ate here a week ago and found most dishes average at best and too expensive ."], "output": "['dishes', ['average', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't dine at Tamarind for the vegetarian dishes , they are simply not up to par with the non-veg selections ."], "output": "['vegetarian', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['Decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['service', ['spotty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is always packed ."], "output": "['place', ['packed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most importantly , food is excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am happy i did the food was awsome ."], "output": "['food', ['awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['kababs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['Dal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru on Park S is simply disgusting ."], "output": "['Haru', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['fish', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['rice', ['old', 'stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quite frankly , this is some of the worst sushi I have ever tried ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["honestly the worst sushi my husband and i had in our entire lives ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["not sure why this restaurant would be rated that highly ."], "output": "['restaurant', ['highly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the all-u-can-eat sushi is definitely in very poor quality ."], "output": "['all-u-can-eat', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['ingredients', ['no-so-fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['fish', ['thinly-sliced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['rice', ['fall-apart']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar-soaked rice , and the scallion on top of the fish ."], "output": "['soy', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar-soaked rice , and the scallion on top of the fish ."], "output": "['rice', ['vinegar-soaked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the waitstaffs are nice though ."], "output": "['waitstaffs', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been to Roth 's twice and both times were very disappointing ."], "output": "['Roth', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both times I was extremely dissappointed by the service , which was boarderline rude ."], "output": "['service', ['dissappointed', 'rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dinner was ok , nothing I would have again ."], "output": "['dinner', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ."], "output": "['eggs', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['room', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thai is great !"], "output": "['Planet', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['drinks', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['atmosphere', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "['svc', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "['restaurant', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , it 's fabulous and their prices are so cheap !"], "output": "['Pad', ['Try', 'fabulous', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just because it 's cheap does NOT mean the portions are small or the food is nasty , IT IS GREAT !"], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just because it 's cheap does NOT mean the portions are small or the food is nasty , IT IS GREAT !"], "output": "['food', ['nasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience ."], "output": "['atmosphere', ['saves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chennai Garden is my favorite Indian restaurant in the city ."], "output": "['Chennai', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have authentic Indian at amazin prices ."], "output": "['Indian', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seats are uncomfortable if you are sitting against the wall on wooden benches ."], "output": "['seats', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a rather cramped and busy restaurant and it closes early ."], "output": "['restaurant', ['cramped', 'busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['cigar', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['portion', ['appropriate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates ."], "output": "['restaurant', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not a great place for family or general dining ."], "output": "['place', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["LOVE THIS PLACE ."], "output": "['PLACE', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is excellent ."], "output": "['Food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish is so very fresh ."], "output": "['Fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waitstaff are very friendly ."], "output": "['Waitstaff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love YUKA ."], "output": "['YUKA', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mermaid Inn is an overall good restaurant with really good seafood ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mermaid Inn is an overall good restaurant with really good seafood ."], "output": "['Mermaid', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['dishes', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['lobster', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['spaghetti', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['ambience', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only fallback on this restaurant is the prices ."], "output": "['restaurant', ['fallback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though its good seafood , the prices are too high ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price ."], "output": "['lobster', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['service', ['top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Truly the mark of an attentive waiter ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the restaurant based on our experience last night ."], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate at this Thai place following the reviews but very unhappy with the foods ."], "output": "['foods', ['unhappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['jelly', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['drunken', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['soupy', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['stir', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['food', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['waiters', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have frequented 'ino for several years and the food remains excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cheese plate is a varied delight and great bargain at $ 10 ."], "output": "['Cheese', ['varied', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( The asparagus , truffle oil , parmesan bruschetta is a winner ! )"], "output": "['asparagus', ['winner']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list is extensive without being over-priced ."], "output": "['Wine', ['extensive', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the seasonal , and always delicious , specials ."], "output": "['specials', ['try', 'seasonal', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved this place ! !"], "output": "['place', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very freindly , they make it feel like you 're eating in a freindly little european town ."], "output": "['wait', ['freindly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "['people', ['evil', 'incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "['Cafe', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place ."], "output": "['staff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place ."], "output": "['Cafe', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza here is consistently good ."], "output": "['Pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads are a delicious way to begin the meal ."], "output": "['Salads', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You should pass on the calamari ."], "output": "['calamari', ['pass']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is charming ."], "output": "['Decor', ['charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is average ."], "output": "['Service', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What a great place ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['ambience', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would definitely recommend SEA if you like thai cuisine !"], "output": "['thai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was here a few weeks back and we had the worst customer service experience at a restaurant ever ."], "output": "['customer', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I absolutely Loved this place ."], "output": "['place', ['Loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['atmosphere', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['dishes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['service', ['good', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is also really nice ."], "output": "['wine', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['drinks', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['staff', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['mileau', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend this place !"], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been to Casimir over 5 times and I have always had a great time there ."], "output": "['Casimir', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and reasonably priced ."], "output": "['food', ['great', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['staff', ['nice', 'stressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['unisex', ['stressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['caviar', ['spectacular', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['waitstaff', ['hospitable', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Considering we were the last patrons there and it was after the closing time , the waitstaff did not rush us at all and made us feel comfortable and relaxed ."], "output": "['waitstaff', ['comfortable', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['caviar', ['delicious', 'top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice Family owned traditional restaurant ."], "output": "['restaurant', ['traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fresh ingredients and everything is made to order ."], "output": "['ingredients', ['Fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly staff that actually lets you enjoy your meal and the company you 're with ."], "output": "['staff', ['Friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['salmon', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also ordered the Change Mojito , which was out of this world ."], "output": "['Change', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friends settled for rice dishes , but we came back the following day to try the dim sum , which was good ... not outstanding , but good ."], "output": "['dim', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['back', ['worth', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['music', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , excellent restaurant !"], "output": "['restaurant', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was nice and calm ."], "output": "['place', ['nice', 'calm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but the service was a bit slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The buffet had a nice selection ."], "output": "['buffet', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['dishes', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also very good ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['cheesecake', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['pastries', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend Roxy 's for that , but not for their food ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My son and his girlfriend both wanted cheeseburgers and they were huge !"], "output": "['cheeseburgers', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Consequently , their burgers fell apart in their hands and made such a mess that they did'nt feel like finishing them ."], "output": "['burgers', ['fell']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a huge pastrami sandwich on a roll ."], "output": "['pastrami', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "['food', ['forgotten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "['place', ['trendi']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish ."], "output": "['food', ['spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the Tom Kha soup was pathetic ."], "output": "['Tom', ['pathetic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want good authentic Thai this place is not the place to go ."], "output": "['Thai', ['good', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went here for lunch a couple of weeks ago on a Saturday , and I was thoroughly impressed with the food ."], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['pesto', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['spicy', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe back garden sitting area is very pleasant , where you can see their personal herb garden ."], "output": "['back', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the lobster sandwich and it was FANTASTIC ."], "output": "['lobster', ['FANTASTIC']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['portion', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['french', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['scallops', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['sauce', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We waited at the bar and had martinis that were just right ."], "output": "['martinis', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["love the food ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it 's the only place you can get yummy authentic japanese comfort food ."], "output": "['japanese', ['yummy', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['menu', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['setting', ['unpretensious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['dishes', ['unique', 'tasty', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['pistachio', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm glad I was introduced to this place and this is a rare gem in NY ."], "output": "['place', ['glad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The freshest , best variety , and the fastest delivery ."], "output": "['delivery', ['fastest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['sushi', ['particular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['ceviche', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['crab', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['assorted', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['rolls', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['two', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['banana', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Definitely a great spot for a nice occasion or date ."], "output": "['spot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['Thai', ['Average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['delivery', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food arrived 20 minutes after I called , cold and soggy ."], "output": "['food', ['cold', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a wonderful place on all stand points especially value ofr money ."], "output": "['place', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An excellent service"], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were greeted promptly by the waiter who was very nice and cordial ."], "output": "['waiter', ['nice', 'cordial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["She was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about Indian food ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food looked very appetizing and delicious since it came on a variety of fancy plates ."], "output": "['food', ['appetizing', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ended our great experience by having Gulab Jamun ( dessert ) recommended by the waiter ."], "output": "['Gulab', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thanked my friend who recommended me this restaurant and will certainly recommend it to others ."], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['Service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['Guacamole+shrimp', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['filet', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can not go wrong with this place ."], "output": "['place', ['wrong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['service', ['quick', 'friendly', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always a nice crowd , but never loud ."], "output": "['crowd', ['nice', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am reluctant to write because I would not want my jem of a pizza place to become overcrowded ."], "output": "['pizza', ['overcrowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far , the best pizza in Manhattan ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['crust', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['ingredients', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was really , really fresh ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We all agreed that mare is one of the best seafood restaurants in New York ."], "output": "['mare', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I stumbled upon this great pizzeria as I explored my new neighborhood ."], "output": "['pizzeria', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of the pizzas are terrific and the price is even better !"], "output": "['pizzas', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the Sophia pizza ."], "output": "['Sophia', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time the sushi was outstanding , the second time it was a little bland ."], "output": "['sushi', ['outstanding', 'bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['blond', ['soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['premium', ['soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['kitchen', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['Sushi', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mizu is home to creative and unique rolls not to found anywhere else ."], "output": "['rolls', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['cuisine', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['service', ['attentive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warning : You may find it difficult to dine at other Japanese restaurants after a visit to Mizu !"], "output": "['Mizu', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['people', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['food', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['Thalia', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered the smoked salmon and roe appetizer and it was off flavor ."], "output": "['smoked', ['off']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['entree', ['bland', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['dessert', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I expected quite a bit more from such an expensive menu ."], "output": "['menu', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['view', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wonderful strawberry daiquiries as well !"], "output": "['strawberry', ['Wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic Taiwanese food that 's cheap ... what more could you ask for ?"], "output": "['Taiwanese', ['Authentic', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['food', ['delicious', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['outdoor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind , attentive wait staff ."], "output": "['wait', ['Kind', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."], "output": "['scallops', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."], "output": "['mahi', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend devoured her chicken and mashed potatos ."], "output": "['chicken', ['devoured']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious crab cakes too ."], "output": "['crab', ['Delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['garden', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['food', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great neighborhood joint ."], "output": "['joint', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['selection', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['pizza', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['Basil', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their calzones are horrific , bad , vomit-inducing , YUCK ."], "output": "['calzones', ['horrific', 'bad', 'vomit-inducing', 'YUCK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The counter service is bad ."], "output": "['counter', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dosas are skimpy , unattractive and drip with grease , and personally I 'd drink popcorn topping before I 'd eat another one of these ."], "output": "['dosas', ['skimpy', 'unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sandwiches are dry , tasteless and way overpriced ."], "output": "['sandwiches', ['dry', 'tasteless', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['place', ['unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['room', ['unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['clerks', ['unhelpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seriously , this place kicks ass ."], "output": "['place', ['kicks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['atmosphere', ['unheralded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['service', ['impecible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['food', ['magnificant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Italian food I ever had ( and being Italian , that means alot ) ."], "output": "['Italian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is such a lovely , peaceful place to eat outside ."], "output": "['place', ['lovely', 'peaceful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty ."], "output": "['restaurant', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['basic', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['drinks', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a great place to take out-of-towners , and perfect for watching the sunset ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great sushi experience ."], "output": "['sushi', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unique apppetizers ."], "output": "['apppetizers', ['Unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try sushimi cucumber roll ."], "output": "['sushimi', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['spreads', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['beverage', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['bagels', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is awful ."], "output": "['service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is not worth the prices ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love Pizza 33 ..."], "output": "['Pizza', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I will be out with friends and all of a sudden I am hungry and I only crave one thing ... their Pizza ."], "output": "['Pizza', ['crave']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This tiny Williamsburg spot is always pleasantly surprising ."], "output": "['Williamsburg', ['surprising']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['proprietor', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['cream', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['coffee', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bagels are ok , but be sure not to make any special requests !"], "output": "['Bagels', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the turkey burgers are scary !"], "output": "['turkey', ['scary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi was awful !"], "output": "['sushi', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice was poor quality and was cooked so badly it was hard ."], "output": "['rice', ['poor', 'cooked', 'hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "['sushi', ['bland', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was adequate , but inexpertly sliced ."], "output": "['fish', ['adequate', 'inexpertly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , fast service ."], "output": "['service', ['Good', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great and inexpensive ."], "output": "['Food', ['great', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location is perfect ."], "output": "['location', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , this place is so Ghetto its not even funny ."], "output": "['place', ['Ghetto', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['bottle', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['music', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awsome Pizza especially the Margheritta slice ."], "output": "['Pizza', ['Awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awsome Pizza especially the Margheritta slice ."], "output": "['Margheritta', ['Awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great atmoshere and worth every bit ."], "output": "['atmoshere', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['staff', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['Winnie', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is reliable and the price is moderate ."], "output": "['food', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For authentic Thai food , look no further than Toons ."], "output": "['Thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , or sample anything on the appetizer menu ... they 're all delicious ."], "output": "['Pad', ['Try', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , or sample anything on the appetizer menu ... they 're all delicious ."], "output": "['appetizer', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything about this restaurant was special ."], "output": "['restaurant', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet discreet ."], "output": "['service', ['attentive', 'discreet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal ."], "output": "['brioche', ['cute', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was quiet and delightful ."], "output": "['place', ['quiet', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did not try the caviar but I tried their salmon and crab salad ( they are all good )"], "output": "['salmon', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did not try the caviar but I tried their salmon and crab salad ( they are all good )"], "output": "['crab', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is definitely a good spot for snacks and chat ."], "output": "['spot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a retired hipster , I can say with some degree of certainty that for the last year Lucky Strike has been the best laid-back late night in the city ."], "output": "['Lucky', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she's-way-cuter-than-me-that-b @ # $ * way ) ."], "output": "['wait', ['pleasant', 'fun', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['food', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['mussels', ['yummy', 'cooked-to-perfection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['fries', ['yummy', 'crispy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the best part about LS is the late night atmosphere , delightfully free of the BTs ."], "output": "['late', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['martini', ['delish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['Vanilla', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['setting', ['homey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['music', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The in-house lady DJ on Saturday nights has outrageously good taste in music , and moreover , takes requests ."], "output": "['in-house', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You ca n't go wrong with this place ."], "output": "['place', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Suan is a great place that I often take my friends ( classmates ) too ."], "output": "['Suan', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['location', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['Suan', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I LOVE their Thai"], "output": "['Thai', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["noodles with shrimp and chicken and coconut juice is the MUST !"], "output": "['noodles', ['MUST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In summer-eat outside on a terrace ( another great feature of Suan ) ! ! !"], "output": "['terrace', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine a friendlier staff working in a restaurant ."], "output": "['staff', ['friendlier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine better Indian food in all of the city ."], "output": "['Indian', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['chef', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['staff', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food now is inconsistent ."], "output": "['food', ['inconsistent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the kind of place you 'd like to take all your friends to and still keep a secret ."], "output": "['place', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The setting is casual and romantic ."], "output": "['setting', ['casual', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is excellent !"], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["if you 're daring , try the balsamic vinegar over icecream , it 's wonderful !"], "output": "['balsamic', ['try', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rest of the dim sum , though pricey by Chinatown standards , is worth it ."], "output": "['dim', ['pricey', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['wait', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['atmosphere', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['turnip', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['roast', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['egg', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was exceptional ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I choose to go with one of the special , the braised lamb shank in red wine , which was excellent ."], "output": "['braised', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['atmosphere', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "['meal', ['enjoy', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "['restaurant', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['interior', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['place', ['little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the pad se ew chicken was delicious , however the pad thai was far too oily ."], "output": "['pad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the pad se ew chicken was delicious , however the pad thai was far too oily ."], "output": "['pad', ['oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have eaten at Ginger House several times , and it 's always good ."], "output": "['Ginger', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fried dumplings are GREAT !"], "output": "['fried', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Finally a reliable Chinese restaurant !"], "output": "['Chinese', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrible , terrible management - deserves to be shut-down ."], "output": "['management', ['Terrible', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious bagels , especially when right out of the oven ."], "output": "['bagels', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['Spreads', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['toppings', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is fast and friendly ."], "output": "['Service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['ambience', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao is a good restaurant , but it 's nothing special ."], "output": "['Rao', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You must try the shrimp appetizers ."], "output": "['shrimp', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['ambience', ['correct']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['staff', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great prices , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are looking for a good quality , cheap eats - this is the place ."], "output": "['eats', ['good', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it 's a perfect place to have a amazing indian food ."], "output": "['indian', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really loved the different and inovated touch that 's the cheff gives to the food ."], "output": "['cheff', ['loved', 'inovated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also it 's great to have dinner in a very romantic and comfortable place , the service it 's just perfect ... they 're so frendly that we never want to live the place !"], "output": "['place', ['romantic', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["also it 's great to have dinner in a very romantic and comfortable place , the service it 's just perfect ... they 're so frendly that we never want to live the place !"], "output": "['service', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their bagels are fine , but they are a little overcooked , and not really a 'special ' bagel experience ."], "output": "['bagels', ['fine', 'overcooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great bagels made the old-fashioned way ."], "output": "['bagels', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drawbacks : service is slow and they do n't toast !"], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was absolutely amazing ! !"], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The baked clams octopus we shared as appetizers were the best we 've ever had ! !"], "output": "['baked', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lamb was tender so full of flavor , the dessert was divine ! !"], "output": "['lamb', ['tender']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lamb was tender so full of flavor , the dessert was divine ! !"], "output": "['dessert', ['divine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waiter was attentive ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place itself is beautiful the bar scene seems to be happening ."], "output": "['place', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['Appetizers', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['waiter', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downtown Dinner 2002 - Prixe fix : Appetizers were ok , waiter gave me poor suggestion ... try the potato stuff kanish best one ."], "output": "['potato', ['try', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['salmon', ['wasnt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['chicken', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "['servings', ['Small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Dessert is a joke ... dont bother"], "output": "['Dessert', ['joke']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Volare virgins or weekly regulars , everyone gets treated the same and you ca n't ask for more than that when the service is this friendly ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant has a Family feel , not least with regard to the portions which are enormous ; the veal alone could have single-handedly solved third world famine ."], "output": "['restaurant', ['Family']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant has a Family feel , not least with regard to the portions which are enormous ; the veal alone could have single-handedly solved third world famine ."], "output": "['portions', ['enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['anti-pasta', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['calamari', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "['pasta', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['wine', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "['meal', ['reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Still , any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house ..."], "output": "['measures', ['pour-your-own', 'courtesey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fantastic place ."], "output": "['place', ['Fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Lucky Strike is a great casual place to just grab a bite to eat ."], "output": "['Lucky', ['great', 'casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , great decor , great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the perfect spot for meeting friends , having lunch , dinner , pre-theatre or after-theatre drinks !"], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent spot for holiday get togethers with co-workers or friends that you have n't seen in a while ."], "output": "['spot', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been doing all of the above at the Heartland Brewery for over 5 years now and I HAVE NEVER BEEN DISAPPOINTED !"], "output": "['Heartland', ['NEVER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What a great place !"], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not the typical NYC gimmick theme restaurant ."], "output": "['restaurant', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['bar', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A cool bar with great food , and tons of excellent beer ."], "output": "['beer', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['shrimp', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The shrimp scampi was excellent and the antipasti were plentiful ."], "output": "['antipasti', ['plentiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "['service', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cozy romantic atomosphere with only around 15 tables at most ."], "output": "['atomosphere', ['Cozy', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very prompt but slightly rushed ."], "output": "['Service', ['prompt', 'rushed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good , but not what I would consider out of this world ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Too bad the food was n't of the same heritage ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['porcini', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "['seafood', ['tasteless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But that was n't the icing on the cake : a tiramisu that resembled nothing I have ever had ."], "output": "['tiramisu', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really liked this place ."], "output": "['place', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the best Chinese style BBQ ribs in the city ."], "output": "['BBQ', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['rice', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "['congee', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's definately not a place to go if you want to impress someone ."], "output": "['place', ['impress']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quick and friendly service ."], "output": "['service', ['Quick', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['main', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ."], "output": "['ceiling', ['spectacular', 'hand-painted', 'high']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['food', ['wonderful', 'tasty', 'filling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "['service', ['professional', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ca n't wait for summer , when they serve outside on their gigantic patio ."], "output": "['patio', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recently tried Suan and I thought that it was great ."], "output": "['Suan', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['food', ['lot']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "['place', ['exceeded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "['hot', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good food ."], "output": "['food', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good drink ."], "output": "['drink', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great spot , whether looking for a couple of drinks or quiet dinner ."], "output": "['spot', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warm and friendly in the winter and terrific outdoor seating in the warmer months ."], "output": "['outdoor', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selection of wines at reasonable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and they have a good selection of wines at reasonable prices ."], "output": "['wines', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['ambiance', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['food', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "['service', ['could']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i 've been to sapphire twice and both times the food was fine , if not good ."], "output": "['food', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['chicken', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['beef', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "['lamb', ['stick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["service is friendly , and never had a problem walking in and getting a table ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["skip dessert ."], "output": "['dessert', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Reuben sandwich ever !"], "output": "['Reuben', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't miss Bloom 's on your next trip to Manhatten ."], "output": "['Bloom', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thanks Bloom 's for a lovely trip ."], "output": "['Bloom', ['Thanks', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['food', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was not fresh , the sauces were bland and very oily ."], "output": "['sauces', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza was a little soggy ."], "output": "['Pizza', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ravioli was good ... but I have to say that I found everything a bit overpriced ."], "output": "['Ravioli', ['good', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not enough wines by the glass either ."], "output": "['wines', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service , however , was excellent ... and I liked the setting/atmosphere a lot ."], "output": "['Service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service , however , was excellent ... and I liked the setting/atmosphere a lot ."], "output": "['setting/atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was just average ... if they lowered the prices just a bit , it would be a bigger draw ."], "output": "['Food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is a great bargain ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic Pakistani food ."], "output": "['Pakistani', ['Authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["People are always friendly ."], "output": "['People', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just straight up cheap , good food ."], "output": "['food', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Faan is sooo good ."], "output": "['Faan', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The best pad thai i 've ever had ."], "output": "['pad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['design', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The design and atmosphere is just as good ."], "output": "['atmosphere', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["bottles of wine are cheap and good ."], "output": "['bottles', ['cheap', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was actually aweful ."], "output": "['food', ['aweful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['mussles', ['fishiest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['seabass', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['goat', ['missing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting ."], "output": "['penne', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['atmosphere', ['Nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['service', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice atmosphere , the service was very pleasant and the desert was good ."], "output": "['desert', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pastas', ['rich']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing , rich pastas and fresh doughy pizza ."], "output": "['pizza', ['fresh', 'doughy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['vibe', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['owner', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "['service', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the drinks are amazing and half off till 8pm ."], "output": "['drinks', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ask for Usha , the nicest bartender in manhattan ."], "output": "['Usha', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My fav was the sassy lassi ..."], "output": "['sassy', ['fav']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is an amazing place to try some roti rolls ."], "output": "['roti', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really recommend the very simple Unda ( Egg ) rolls ."], "output": "['Unda', ['recommend', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['spices', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['onions', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['eggs', ['Delicate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicate spices , onions , eggs and a kick-ass roti ."], "output": "['roti', ['kick-ass']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Toons has recently been redone , so it 's now a very attractive space ."], "output": "['Toons', ['attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food 's as good as ever ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In an area sadly lacking in decent Thai food , this is one of the best spots ."], "output": "['Thai', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are HUGE , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people ."], "output": "['portions', ['HUGE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['drumsticks', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best drumsticks over rice and sour spicy soup in town !"], "output": "['sour', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Beef noodle soup is good as well ."], "output": "['Beef', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and the resturant is clean ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and the resturant is clean ."], "output": "['resturant', ['clean']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Taiwanese food in NY !"], "output": "['Taiwanese', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been to Rao 's probably 15 times the past 3 years and it keeps getting better ."], "output": "['Rao', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['service', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao 's has the best service and atmosphere in NYC ."], "output": "['atmosphere', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My roommate and I LOVE this place ."], "output": "['place', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We recently decided to try this location , and to our delight , they have outdoor seating , perfect since I had my yorkie with me ."], "output": "['outdoor', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Indoor was very cozy and cute ."], "output": "['Indoor', ['cozy', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['portion', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portion sizes here are huge , and the sushi is good ."], "output": "['sushi', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Staff is very accomodating ."], "output": "['Staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['dumplings', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent dumplings served amid clean , chic decor ."], "output": "['decor', ['clean', 'chic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got the $ 10 10-piece dim sum combo , every bite of which was great ."], "output": "['$', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is very simple but comfortable ."], "output": "['decor', ['simple', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious but do not come here on a empty stomach ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are small but being that the food was so good makes up for that ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert ."], "output": "['crabmeat', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff there is very attentive and down to earth ."], "output": "['staff', ['attentive', 'down']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['Indian', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great Indian food and the service is incredible ."], "output": "['service', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food and the prices are very reasonable ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here does a great service to the name ( Cantonese that is ... ) ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork ."], "output": "['egg', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This dish is my favorite and I always get it when I go there and never get tired of it ."], "output": "['dish', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread ."], "output": "['Ow', ['delicious', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Simply some good tasting Chinese food at incredible prices ..."], "output": "['Chinese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Big Wong is a great place to eat and fill your stomach ."], "output": "['Big', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["whoever the jazz duo was , they were on POINT ."], "output": "['jazz', ['on']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['music', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["good music , great food , speedy service affordable prices ."], "output": "['service', ['speedy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["even the wine by the glass was good ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Consistently good Japanese Tapas ."], "output": "['Japanese', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always good drinks and service is pretty good ;"], "output": "['drinks', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always good drinks and service is pretty good ;"], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Atmosphere is nice and relaxed too ..."], "output": "['Atmosphere', ['nice', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A great place to meet up for some food and drinks ..."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yakitori ( bbq meats ) is tasty too ."], "output": "['Yakitori', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['fish', ['low']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['staff', ['unfriendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "['sushi', ['miserable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['decor', ['Fabulous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['food', ['good', 'cheaply-priced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !"], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One would think we 'd get an apology or complimentary drinks - instead , we got a snobby waiter would n't even take our order for 15 minutes and gave us lip when we asked him to do so ."], "output": "['waiter', ['snobby']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['food', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['wait-staff', ['arrogant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."], "output": "['service', ['clumsy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['service', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side ."], "output": "['food', ['overated', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is okay and the prices here are mediocre ."], "output": "['food', ['okay']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['food', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Baluchi 's has solid food and a nice decor at reasonable prices ."], "output": "['Baluchi', ['solid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only problem is that the manager is a complete incompetent ."], "output": "['manager', ['incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He offers subpar service and has no personality ."], "output": "['service', ['subpar']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is no excuse for such lousy service !"], "output": "['service', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have never before eaten 40 pieces of relatively good nigiri ."], "output": "['nigiri', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 20 for all you can eat sushi can not be beaten ."], "output": "['all', ['beaten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went to Areo on a Sunday afternoon with four of my girlfriends , and spent three enjoyable hours there ."], "output": "['Areo', ['enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most of the servers are very attentive , friendly and quite attractive ."], "output": "['servers', ['attentive', 'friendly', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['vibe', ['relaxed', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."], "output": "['view', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommand requesting a table by the window ."], "output": "['table', ['recommand']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "['place', ['relaxing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Personal pans are the perfect size for those hungry nights ."], "output": "['Personal', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There is a downside if you 're ordering in -- the delivery guys have MAJOR attitude ."], "output": "['delivery', ['downside']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Never have I had such dramatic delivery guys ( a lot of huffing and panting and muttering under breath b/c I live in a walkup ) who always seem disappointed with their tips ."], "output": "['delivery', ['dramatic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['scene', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love the scene first off- the place has a character and nice light to it..very fortunate , location wise ."], "output": "['location', ['fortunate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was pretty good and huge ."], "output": "['pizza', ['good', 'huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were 4 and got the family size penne a la vodka which was tremendously gigantic portion ... a bucket of food literally ."], "output": "['penne', ['gigantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pasta penne was pretty extra buttery , creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count , penne ... got a little moody afterwards cause was stuffed ... lol"], "output": "['pasta', ['buttery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["La Rosa waltzes in , and I think they are doing it the best ."], "output": "['La', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['wines', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['service', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['decor', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Interesting selection , good wines , service fine , fun decor ."], "output": "['selection', ['Interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found it on a cold night , the perfect spot to warm up ."], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recieved prompt service with a smile ."], "output": "['service', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place blew me away ... by far my new favorite restaurant on the uppereast side ."], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is extensive and impressive ."], "output": "['wine', ['extensive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["LOVE the atmosphere - felt like I was in Paris ."], "output": "['atmosphere', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussels were fantastic and so was the dessert ... definitely going to be back very soon ."], "output": "['mussels', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The mussels were fantastic and so was the dessert ... definitely going to be back very soon ."], "output": "['dessert', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Over the years the host , Vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor ."], "output": "['host', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Dining', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Jazz', ['new']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Thin', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !"], "output": "['Lasagna', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I lOVE THIS PLACE !"], "output": "['PLACE', ['lOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to say I have never had a disapointing meal here ."], "output": "['meal', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We could have made a meal of the yummy dumplings from the dumpling menu ."], "output": "['dumplings', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['BBQ', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['Sea', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck ."], "output": "['Crispy', ['Luckily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Judging from previous posts this used to be a good place , but not any longer ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude ."], "output": "['staff', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['food', ['lousy', 'too', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was lousy - too sweet or too salty and the portions tiny ."], "output": "['portions', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Avoid this place !"], "output": "['place', ['Avoid']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have eaten at Saul , many times , the food is always consistently , outrageously good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Saul is the best restaurant on Smith Street and in Brooklyn ."], "output": "['Saul', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['foie', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "['duck', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is interesting and has many good values ."], "output": "['wine', ['interesting', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was very disappointed with this restaurant ."], "output": "['restaurant', ['disappointed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was okay , nothing great ."], "output": "['Food', ['okay', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family ."], "output": "['Chow', ['dry']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family ."], "output": "['pork', ['greasy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I/we will never go back to this place again ."], "output": "['place', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['Service', ['devine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !"], "output": "['oysters', ['sensual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "['decor', ['cool', 'understated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the duck breast special on my last visit and it was incredible ."], "output": "['duck', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very average ... the Thai fusion stuff is a bit too sweet , every thing they serve is too sweet here ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is very average ... the Thai fusion stuff is a bit too sweet , every thing they serve is too sweet here ."], "output": "['Thai', ['too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree ."], "output": "['Grilled', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had never had Edamame pureed before but I thought it was innovative and tasty ( could 've used a bit more salt ) ."], "output": "['Edamame', ['innovative', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['place', ['sleek', 'modern']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['decor', ['night']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern ."], "output": "['vent', ['un-appetizing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !"], "output": "['sake', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['spicy', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "['rock', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went around 9:30 on a Friday and it had died down a bit by then so the service was great !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["we love th pink pony ."], "output": "['pink', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe perfect spot ."], "output": "['spot', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food awesome ."], "output": "['Food', ['awesome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service friendly and attentive ."], "output": "['Service', ['friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambiance relaxed and stylish ."], "output": "['Ambiance', ['relaxed', 'stylish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the food is decent ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["however , it 's the service that leaves a bad taste in my mouth ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["i happen to have a policy that goes along with a little bit of self-respect , which includes not letting a waiter intimidate me , i.e . make me feel bad asking for trivialities like water , or the check ."], "output": "['waiter', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has got to be the best japanese restaurant in the new york area ."], "output": "['place', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great ."], "output": "['Food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is top notch ."], "output": "['Service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ."], "output": "['sea', ['heavenly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi seemed pretty fresh and was adequately proportioned ."], "output": "['sushi', ['fresh', 'proportioned']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice to fish ration was also good -- they did n't try to overpack the rice ."], "output": "['rice', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We took advanatage of the half price sushi deal on saturday so it was well worth it ."], "output": "['half', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In the evening , this place attracted a well dressed , with it , NY crowd ."], "output": "['crowd', ['attracted']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['food', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was well prepared and the service impecable ."], "output": "['service', ['impecable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ."], "output": "['Prix', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["$ 6 and there is much tasty food , all of it fresh and continually refilled ."], "output": "['food', ['tasty', 'fresh', 'refilled']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am not a vegetarian but , almost all the dishes were great ."], "output": "['dishes', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food here is rather good , but only if you like to wait for it ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['somosas', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['chole', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhosas', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "['dhal', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service varys from day to day- sometimes they 're very nice , and sometimes not ."], "output": "['service', ['varys']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The kitchen however , is almost always slow ."], "output": "['kitchen', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Also , specify if you like your food spicy- its rather bland if you do n't ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience is pretty and nice for conversation , so a casual lunch here would probably be best ."], "output": "['ambience', ['pretty', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lava cake dessert was incredible and I recommend it ."], "output": "['lava', ['incredible', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Once you step into Cosette , you 're miraculously in a small , off-the-beaten path Parisian bistro ."], "output": "['Cosette', ['off-the-beaten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This tiny restaurant is as cozy as it gets , with that certain Parisian flair ."], "output": "['restaurant', ['tiny', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['French', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "['desserts', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['pizza', ['cold']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was delivered cold and the cheese was n't even fully melted !"], "output": "['cheese', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is overpriced and soggy ."], "output": "['pizza', ['overpriced', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['ingredients', ['fancy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Yes , they use fancy ingredients , but even fancy ingredients do n't make for good pizza unless someone knows how to get the crust right ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I think I 've had some the best meals of my life at minnow ."], "output": "['meals', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['seafood', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises ."], "output": "['menu', ['ever-changing', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The combination of super-fresh ingredients in the dishes are unusual but really delicious ."], "output": "['ingredients', ['super-fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['Pastrami', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Pastrami I ever had and great portion without being ridiculous ."], "output": "['portion', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife had the fried shrimp which are huge and loved it ."], "output": "['fried', ['huge', 'loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a Japanese native , I 've lived in the Tristate area for over 8 years , but I was just so amazed at this place ."], "output": "['place', ['amazed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is the most Japanese it can ever get ."], "output": "['place', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['signs', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['specials', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['food', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese ."], "output": "['waitstaff', ['Japanese']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is worth an one-hour drive ."], "output": "['place', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['Leon', ['casual', 'hip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['specials', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['atmosphere', ['warm', 'lively']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."], "output": "['French', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ."], "output": "['staff', ['enjoy', 'young', 'not', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decent wine at reasonable prices ."], "output": "['wine', ['Decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is by far my favorite place in the neighborhood ."], "output": "['place', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['decor', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm partial to the Gnocchi ."], "output": "['Gnocchi', ['partial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is incredibly tiny ."], "output": "['place', ['tiny']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess is rude to the point of being offensive ."], "output": "['hostess', ['rude', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was bland oily ."], "output": "['food', ['bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['wine', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We have been to this place many times , and always have great food , wine , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were worried we would have trouble getting in , but somehow managed to have a short wait ."], "output": "['wait', ['short']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As always we had a great glass of wine while we waited ."], "output": "['glass', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When we sat , we got great and fast service ."], "output": "['service', ['great', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The people that work there are always so friendly you forget you are in New York sometimes ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Make sure you try this place as often as you can ."], "output": "['place', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a fun restaurant to go to ."], "output": "['restaurant', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['pizza', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is yummy and I like the atmoshpere ."], "output": "['atmoshpere', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the pizza is way to expensive ."], "output": "['pizza', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I went there for lunch and it was not as good as I expected from the reviews I read ."], "output": "['lunch', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Sauce was watery and the food did n't have much flavor ."], "output": "['Sauce', ['watery']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is great ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['waitress', ['patient']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The waitress was very patient with us and the food is phenomenal !"], "output": "['food', ['phenomenal']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt , friendly and great ."], "output": "['Service', ['prompt', 'friendly', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["There was a small wait , but shorter than I expected ."], "output": "['wait', ['small', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the best sushi in new york city - hands down ."], "output": "['sushi', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['place', ['small', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and cramped but the food is fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['sushi', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['thai', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "['Planet', ['hit']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the great variety on the menu , I eat here often and never get bored ."], "output": "['menu', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."], "output": "['atmosphere', ['is']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['rolls', ['big', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["those rolls were big , but not good and sashimi was n't fresh ."], "output": "['sashimi', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the crunchy tuna , it is to die for ."], "output": "['crunchy', ['Try', 'die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First went here to enjoy their garden terrace ."], "output": "['garden', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was amazing , and the service was prompt and helpful , but not over-bearing or rushed ."], "output": "['service', ['prompt', 'helpful', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Steak Tartare is a great bet , they fix it for you at the table ."], "output": "['Steak', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "['open', ['charm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "['restaurant', ['warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['wine', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['Gigondas', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."], "output": "['house', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['vibe', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It may be a bit packed on weekends , but the vibe is good and it is the best French food you will find in the area ."], "output": "['French', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have recommended the place to friends , always gets good response ."], "output": "['place', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"], "output": "['crust', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['neighborhood', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['setting', ['intimate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service ."], "output": "['service', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and I all enjoy Mizu very much ... and we 're repeat customers ."], "output": "['Mizu', ['enjoy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['Moules', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Moules were excellent , lobster ravioli was VERY salty !"], "output": "['lobster', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Took my mom for Mother 's Day , and the maitre d ' was pretty rude ."], "output": "['maitre', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Tiny dessert was $ 8.00 ... just plain overpriced for what it is ."], "output": "['dessert', ['Tiny', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['drinks', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The drinks are always well made and wine selection is fairly priced ."], "output": "['wine', ['fairly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try their chef 's specials -- they are to die for ."], "output": "['chef', ['Try', 'die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not exactly five star , but thats not really a big deal ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Downstairs lounge is always a good attraction"], "output": "['Downstairs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Raga 's is a romantic , cozy restaurant ."], "output": "['Raga', ['romantic', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The exotic food is beautifully presented and is a delight in delicious combinations ."], "output": "['exotic', ['beautifully', 'delight']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is incredibly helpful and attentive ."], "output": "['staff', ['helpful', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['bar', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['beers', ['interesting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bar is very well stocked with interesting beers and well priced wines ."], "output": "['wines', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rude service , medicore food ... there are tons of restaurants in NY ... stay away from this one"], "output": "['service', ['Rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rude service , medicore food ... there are tons of restaurants in NY ... stay away from this one"], "output": "['food', ['medicore']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a great time at Jekyll and Hyde !"], "output": "['Jekyll', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['shows', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved everythig about it-especially the shows and actors ."], "output": "['actors', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our server was very helpful and friendly ."], "output": "['server', ['helpful', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good too ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['tuna', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tuna and wasabe potatoes are excellent ."], "output": "['wasabe', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful ."], "output": "['outdoor', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was prompt and courteous ."], "output": "['Service', ['prompt', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['service', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great service , great food ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Two complaints -- their appetizer selection stinks , it would be nice to get some mozzarella sticks on the menu ."], "output": "['appetizer', ['complaints']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['Wait', ['unappreciative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS !"], "output": "['pie', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far the best salad I have had in a fast food restaurant ."], "output": "['salad', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fine dining restaurant quality ."], "output": "['dining', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["On a recent Sunday afternoon , a friend and I accidently found this great restaurant on our way to see the pulitzer prize winning play DOUBT ."], "output": "['restaurant', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['chicken', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['cheeseburger', ['huge', 'delictable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "['service', ['professional', 'warm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff is no nonsense ."], "output": "['staff', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["When I lived upstate for a while I would buy freeze the bagels and they would still be better than any else ."], "output": "['bagels', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Worth visiting the 1st Ave spot because it is the original store ."], "output": "['1st', ['Worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["He served me an Uni Hand roll , which I never had before , and let me tell you ... IT WAS HEAVEN !"], "output": "['Uni', ['HEAVEN']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sake menu should not be overlooked !"], "output": "['sake', ['overlooked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was very good - prompt , attentive and non-intrusive ."], "output": "['Service', ['good', 'prompt', 'attentive', 'non-intrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['Wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top ."], "output": "['wine-by-the-glass', ['generously']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['Traditional', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "['hall', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've been to at Cafe Spice probably 5-8 times , it is probably still the best Indian restaurant around Union Square ."], "output": "['Cafe', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To sum it up : Service varies from good to mediorce , depending on which waiter you get ; generally it is just average Ok ."], "output": "['Service', ['varies']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seating is always prompt , though the restaurant does fill up in the evening ."], "output": "['Seating', ['prompt']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['Food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is usually very good , though ocasionally I wondered about freshmess of raw vegatables in side orders ."], "output": "['raw', ['wondered']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['decor', ['vibrant', 'eye-pleasing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."], "output": "['semi-private', ['eye-pleasing', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have NEVER been disappointed in the Red Eye ."], "output": "['Red', ['NEVER']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time I went , and was completely taken by the live jazz band and atmosphere , I ordered the Lobster Cobb Salad ."], "output": "['live', ['taken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time I went , and was completely taken by the live jazz band and atmosphere , I ordered the Lobster Cobb Salad ."], "output": "['atmosphere', ['taken']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's simply the best meal in NYC ."], "output": "['meal', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If we were to move from the upper east side , we would genuinely miss this restaurant ."], "output": "['restaurant', ['miss']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is cute but not upscale ."], "output": "['restaurant', ['cute', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['food', ['diamond']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "['balance', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had a great time at the Jekyll and hyde Pub last night ."], "output": "['Jekyll', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["After really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "['bar', ['enjoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The server was really cool and served us our food and drinks with a smile ."], "output": "['server', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['decor', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place 's decor and hidden bathrooms made for a good laugh ."], "output": "['hidden', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend visiting this restaurant and having dinner and drinks !"], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you are the type of person who likes being scared and entertained , this is a great place to go and eat ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband and I thougt it would be great to go to the Jekyll and Hyde Pub for our anniversary , and to our surprise it was fantastic ."], "output": "['Jekyll', ['great', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['beers', ['happy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."], "output": "['pumkin', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entertainment was great they have shows that go on through out the dinner ."], "output": "['entertainment', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagel was huge ."], "output": "['bagel', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The workers there also absolutely load the bagel with cream cheese ( gets a little messy ) ."], "output": "['bagel', ['messy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This was my frist time at Cafe St. Bart 's and I must say how delicious the food and the service was ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster ."], "output": "['lobster', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster ."], "output": "['lobster', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['pizza', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['santa', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "['fish', ['enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['ambience', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ."], "output": "['service', ['recommend', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All the staff is absolutely professional ! !"], "output": "['staff', ['professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This restaurant was way overhyped ."], "output": "['restaurant', ['overhyped']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My chow fun and chow see was really bland and oily ."], "output": "['chow', ['bland', 'oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['scallion', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "['fried', ['ordinary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was the only thing good about this restaurant ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['sushi', ['below']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['tuna', ['soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's boring on the inside , and our sushi was pretty below average ... the tuna was soggy and the other rolls had no flavor ."], "output": "['rolls', ['no']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their pad penang is delicious and everything else is fantastic ."], "output": "['pad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The price is reasonable although the service is poor ."], "output": "['service', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fresh restaurant was amazing ... ... .. food was delicious and of course fresh ."], "output": "['fresh', ['fresh', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["fresh restaurant was amazing ... ... .. food was delicious and of course fresh ."], "output": "['food', ['delicious', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Hats off to the chef ."], "output": "['chef', ['Hats']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the salads are delicious , both refreshing and very spicy ."], "output": "['salads', ['delicious', 'refreshing', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had Pam 's special fried fish and it was amazing ."], "output": "['Pam', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great vibe , lots of people ."], "output": "['vibe', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did n't complain , I liked the atmosphere so much ."], "output": "['atmosphere', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is so cute and quaint , good for business although we were there on vacation ."], "output": "['Ambience', ['cute', 'quaint', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads were fantastic ."], "output": "['Salads', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ingredients are organic which is a real plus for me ."], "output": "['Ingredients', ['organic', 'plus']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is some really good , inexpensive sushi ."], "output": "['sushi', ['good', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The spicy Tuna roll is huge and probably the best that I 've had at this price range ."], "output": "['spicy', ['huge', 'best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The Yellowtail was particularly good as well ."], "output": "['Yellowtail', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have reservations about the all you can eat deal , however -- the choices are fairly limited and you can probably order more food than you can eat for less than $ 18 by just going off the menu ."], "output": "['all', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Big Wong gets big Ups for a fine establishment ."], "output": "['Big', ['big', 'fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have it all -- great price , food , and service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['atmosphere', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "['waiters', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The takeout is great too since they give high quality tupperware as well ."], "output": "['takeout', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is always very crowded and popular ."], "output": "['place', ['crowded', 'popular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese ... .both very tasty ."], "output": "['Caesar', ['Enjoyed', 'nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese ... .both very tasty ."], "output": "['arugula', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We both opted for a pasta dish and they were served timely and fresh ."], "output": "['pasta', ['served', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We concluded with tiramisu chocolate cake , both were delicious ."], "output": "['tiramisu', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recently went to this restaurant with some co-workers for lunch and had an amazing time ."], "output": "['restaurant', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['staff', ['accomodating']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "['place', ['lovely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get good food and ok service ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['food', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['service', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "['good', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['dishes', ['simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['wine', ['served']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "['atmosphere', ['bustling']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And evaluated on those terms Pastis is simply wonderful ."], "output": "['Pastis', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza ."], "output": "['place', ['nice', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "['raddichio', ['bitter']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend got the mushroom pizza which tasted better ."], "output": "['mushroom', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sangria was pretty tasty and good on a hot muggy day ."], "output": "['sangria', ['tasty', 'good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind of a small place but I guess if they are not too busy might be able to fit a group or kids ."], "output": "['place', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I started out with a Bombay beer which was big enough for two ."], "output": "['Bombay', ['big']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow , but the people were friendly ."], "output": "['people', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a nice place to relax and have conversation ."], "output": "['place', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is authentic Italian - delicious !"], "output": "['food', ['authentic', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['Pizza', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza is terrific , as is homemade pasta ."], "output": "['homemade', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['Ambience', ['delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ambience is delightful , service impeccable ."], "output": "['service', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm still mad that i had to pay for lousy food ."], "output": "['food', ['lousy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['hanger', ['rubber']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "['tuna', ['flavorless']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['Service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also horrible and the ambience is not that great ."], "output": "['ambience', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The filet mignon dish was superb !"], "output": "['filet', ['superb']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a small cute restaurant ."], "output": "['restaurant', ['small', 'cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I absolutely love this place ! ! !"], "output": "['place', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like the ambience , it 's very dark and original ."], "output": "['ambience', ['like', 'dark', 'original']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi is amazing ! ! !"], "output": "['sushi', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very affordable and excellent ambient !"], "output": "['ambient', ['affordable', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We wo n't go to this place again for a good meal ."], "output": "['meal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I think this place is a good hang out spot ."], "output": "['place', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My Girlfriend and I stumbled onto this hopping place the other night and had a great time !"], "output": "['place', ['hopping', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['Pizza', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe Pizza and wine were excellent -- the service too -- but what really MADE this place was the backyard dining area ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is one the nicest outdoor restaurants I have ever seen in NY -- I am from Italy and this place rivals the ones in my country ."], "output": "['outdoor', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["First of all , this place is *not* romantic , as claimed by Citysearch 's editorial review ."], "output": "['place', ['*not*']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['tables', ['crammed', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['menu', ['typical']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."], "output": "['wine', ['overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Slightly above average wines start at $ 70+ with only one selection listed at $ 30+ ."], "output": "['wines', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is not what one would expect from a joint in this price category ."], "output": "['Service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Somehow working the italian charm with constant mille grazie does not constitute proper service ."], "output": "['service', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of Teodora ."], "output": "['food', ['above']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["To be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of Teodora ."], "output": "['Teodora', ['deficiencies']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring ."], "output": "['meals', ['edible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring ."], "output": "['rosemary', ['weird']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish was overdone ."], "output": "['Fish', ['overdone']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['wait', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cute place , nice wait staff but would never go there again ."], "output": "['place', ['Cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Someone else recommended the dessert - we also left that ."], "output": "['dessert', ['recommended']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["One of us actually liked the expresso - that 's it ."], "output": "['expresso', ['liked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Skip this restaurant , it 's a big disappointment ."], "output": "['restaurant', ['Skip', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Myagi is one of my favorite restaurants in the City ; the place the negative reviews describe sound like they were somewhere else ."], "output": "['Myagi', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['service', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 've never had bad service and the fish is fresh and delicious ."], "output": "['fish', ['fresh', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their tuna tartar appetizer is to die for ."], "output": "['tuna', ['die']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I come from a family of pizzeria owners , and I 'm almost ashamed to say that the pizza in Fornino 's blows my families receipies away ."], "output": "['pizza', ['ashamed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['service', ['prompt', 'curtious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is so cool and the service is prompt and curtious ."], "output": "['place', ['cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend to anyone to give this place a try ."], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "['atmosphere', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dining room is quietly elegant with no music to shout over -- how refreshing !"], "output": "['dining', ['elegant', 'refreshing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu , present your meal , and attend to your needs ."], "output": "['service', ['impeccable', 'unobtrusive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['meal', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "['restaurant', ['real']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['view', ['breathtaking']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['service', ['top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is breathtaking the service is top notch ... the ambiance is wonderful ."], "output": "['ambiance', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff offers impeccable service ."], "output": "['staff', ['impeccable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['New', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."], "output": "['Lobster', ['award']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My boyfriend had Prime Rib it was good ."], "output": "['Prime', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We did n't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough ."], "output": "['bottles', ['enough']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like spicy food get the chicken vindaloo ."], "output": "['chicken', ['get']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['service', ['1st']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Go to Volare for 1st class service and terrific food ."], "output": "['food', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The portions are large and the servers always surprise us with a different starter ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is excellent ."], "output": "['wine', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."], "output": "['food', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."], "output": "['selection', ['extensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."], "output": "['place', ['small', 'intimate', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['food', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like ."], "output": "['prixe', ['greatest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['food', ['decent', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "['lemon', ['exception']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is very limited - i think we counted 4 or 5 entrees ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat ."], "output": "['grilled', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic , just simple , small and sparse ."], "output": "['decor', ['diner-ish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Problem is nothing at Prune is particularly memorable ."], "output": "['Prune', ['memorable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is so much fun ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our family never expected such incredible entertainment in a restaurant ."], "output": "['entertainment', ['incredible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Our food was great too !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And really large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff was the friendliest that have seen in New York ."], "output": "['staff', ['friendliest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want something really different than try Jekyll and Hyde ."], "output": "['Jekyll', ['different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty tradional but it was hot and good with large portions ."], "output": "['food', ['tradional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was pretty tradional but it was hot and good with large portions ."], "output": "['portions', ['large']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place is a lot of fun ."], "output": "['place', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The characters really make for an enjoyable experience ."], "output": "['characters', ['enjoyable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food however , is what one might expect ."], "output": "['food', ['expect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["However , I think Jeckll and Hydes t is one of those places that is fun to do once ."], "output": "['Jeckll', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was slow had to wait to order and get food although not crowded ."], "output": "['Service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Drinks way over priced ."], "output": "['Drinks', ['over']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food was good not great not worth the wait or another visit"], "output": "['Food', ['good', 'not', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great pizza for lunch place ."], "output": "['pizza', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was quick ."], "output": "['Service', ['quick']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza was great ."], "output": "['pizza', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['fish', ['quality']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delivery is fast too ."], "output": "['Delivery', ['fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['service', ['Great', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['seating', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['Delivery', ['Fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great friendly service , Fast seating , Fast Delivery , Excellent sushi ."], "output": "['sushi', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Ess-A-Bagel ( either by Sty-town or midtown ) is by far the best bagel in NY ."], "output": "['bagel', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The bagels always warm , soft on the inside , crispy on the outside and enormous in size ."], "output": "['bagels', ['warm', 'soft', 'crispy', 'enormous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['salads', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have a huge selection of different cream cheeses and all of their salads are great ."], "output": "['cream', ['huge', 'different']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lox is always fresh too ."], "output": "['lox', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not impressed with the food ."], "output": "['food', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Prices too high for this cramped and unappealing resturant ."], "output": "['resturant', ['cramped', 'unappealing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Zero ambiance to boot ."], "output": "['ambiance', ['Zero']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thought this place was totally overrated ."], "output": "['place', ['overrated']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['ambience', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was nice , but service was n't so great ."], "output": "['service', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the BEST Shabu-Shabu Restaurant in the Try-State Area ."], "output": "['Shabu-Shabu', ['BEST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thius is a must for anyone who loves Shabu-Shabu ."], "output": "['Shabu-Shabu', ['loves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is nothing special , but it feels like a Sushi establishment in Tokyo ."], "output": "['atmosphere', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The owner and staff are all Japanese as well and that adds to the entire ambiance ."], "output": "['ambiance', ['adds']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Taxan delicious !"], "output": "['Taxan', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['location', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location and ambience is Ok but the food is what makes up for it ."], "output": "['ambience', ['Ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try green curry with vegetables ."], "output": "['green', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The quantity is also very good , you will come out satisfied ."], "output": "['quantity', ['good', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is ok , some of the people did n't get what they asked for ."], "output": "['service', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had the best ravioli ever ."], "output": "['ravioli', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine the service was very good too ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This quaint and romantic trattoria is at the top of my Manhattan restaurant list ."], "output": "['trattoria', ['quaint', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['dishes', ['never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['specials', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is delicious - from the specials to the regular menu-fare , the dishes are never a disappointment ."], "output": "['regular', ['delicious', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['candle-light', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['food', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['service', ['overcompensate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Although the tables may be closely situated , the candle-light , food quality and service overcompensate ."], "output": "['tables', ['closely']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go , try the marinara/arrabiatta sauce , the mozzarella en Carozza is mmmmmmmm ... .. everything is just delicious ."], "output": "['marinara/arrabiatta', ['try', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you go , try the marinara/arrabiatta sauce , the mozzarella en Carozza is mmmmmmmm ... .. everything is just delicious ."], "output": "['mozzarella', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Check out the secret back room ."], "output": "['back', ['secret']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food , service and value exceptional everytime I have been there ."], "output": "['service', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was authentic ."], "output": "['food', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent - friendly and attentive ."], "output": "['service', ['excellent', 'friendly', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Very good wine choices ."], "output": "['wine', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Who has room for Cheesesticks with the best pizza in NYC !"], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great staff ."], "output": "['staff', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always great service !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , I ca n't lie ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the staff was so horrible to us ."], "output": "['staff', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['hostess', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "['waitress', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."], "output": "['place', ['pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."], "output": "['food', ['worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Amma is nothing special ."], "output": "['Amma', ['nothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ate here a week ago and found most dishes average at best and too expensive ."], "output": "['dishes', ['average', 'too']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Do n't dine at Tamarind for the vegetarian dishes , they are simply not up to par with the non-veg selections ."], "output": "['vegetarian', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['Decor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is nice though service can be spotty ."], "output": "['service', ['spotty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is always packed ."], "output": "['place', ['packed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Most importantly , food is excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am happy i did the food was awsome ."], "output": "['food', ['awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['kababs', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs ."], "output": "['Dal', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Haru on Park S is simply disgusting ."], "output": "['Haru', ['disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['fish', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was not fresh and the rice tasted old and stale ."], "output": "['rice', ['old', 'stale']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Quite frankly , this is some of the worst sushi I have ever tried ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["honestly the worst sushi my husband and i had in our entire lives ."], "output": "['sushi', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["not sure why this restaurant would be rated that highly ."], "output": "['restaurant', ['highly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the all-u-can-eat sushi is definitely in very poor quality ."], "output": "['all-u-can-eat', ['poor']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['ingredients', ['no-so-fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['fish', ['thinly-sliced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice ."], "output": "['rice', ['fall-apart']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar-soaked rice , and the scallion on top of the fish ."], "output": "['soy', ['salty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar-soaked rice , and the scallion on top of the fish ."], "output": "['rice', ['vinegar-soaked']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the waitstaffs are nice though ."], "output": "['waitstaffs', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been to Roth 's twice and both times were very disappointing ."], "output": "['Roth', ['disappointing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Both times I was extremely dissappointed by the service , which was boarderline rude ."], "output": "['service', ['dissappointed', 'rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dinner was ok , nothing I would have again ."], "output": "['dinner', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ."], "output": "['eggs', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['meal', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["With the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "['room', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive ."], "output": "['service', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Planet Thai is great !"], "output": "['Planet', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['drinks', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We love the food , drinks , and atmosphere !"], "output": "['atmosphere', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "['svc', ['rude']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "['restaurant', ['must']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , it 's fabulous and their prices are so cheap !"], "output": "['Pad', ['Try', 'fabulous', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just because it 's cheap does NOT mean the portions are small or the food is nasty , IT IS GREAT !"], "output": "['portions', ['small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Just because it 's cheap does NOT mean the portions are small or the food is nasty , IT IS GREAT !"], "output": "['food', ['nasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience ."], "output": "['atmosphere', ['saves']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Chennai Garden is my favorite Indian restaurant in the city ."], "output": "['Chennai', ['favorite']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["They have authentic Indian at amazin prices ."], "output": "['Indian', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The seats are uncomfortable if you are sitting against the wall on wooden benches ."], "output": "['seats', ['uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It 's a rather cramped and busy restaurant and it closes early ."], "output": "['restaurant', ['cramped', 'busy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['cigar', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Patroon features a nice cigar bar and has great staff ."], "output": "['staff', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is tasty and portion sizes are appropriate ."], "output": "['portion', ['appropriate']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates ."], "output": "['restaurant', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not a great place for family or general dining ."], "output": "['place', ['Not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["LOVE THIS PLACE ."], "output": "['PLACE', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is excellent ."], "output": "['Food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fish is so very fresh ."], "output": "['Fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Waitstaff are very friendly ."], "output": "['Waitstaff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love YUKA ."], "output": "['YUKA', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mermaid Inn is an overall good restaurant with really good seafood ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mermaid Inn is an overall good restaurant with really good seafood ."], "output": "['Mermaid', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['menu', ['limited']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The menu is limited but almost all of the dishes are excellent ."], "output": "['dishes', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['lobster', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great ."], "output": "['spaghetti', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is good and ambience is good for a date or group outing ."], "output": "['ambience', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The only fallback on this restaurant is the prices ."], "output": "['restaurant', ['fallback']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even though its good seafood , the prices are too high ."], "output": "['seafood', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price ."], "output": "['lobster', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch ."], "output": "['service', ['top-notch']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Truly the mark of an attentive waiter ."], "output": "['waiter', ['attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the restaurant based on our experience last night ."], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate at this Thai place following the reviews but very unhappy with the foods ."], "output": "['foods', ['unhappy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['jelly', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['drunken', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['soupy', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "['stir', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['food', ['cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is so cheap and the waiters are nice ."], "output": "['waiters', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have frequented 'ino for several years and the food remains excellent ."], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Cheese plate is a varied delight and great bargain at $ 10 ."], "output": "['Cheese', ['varied', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["( The asparagus , truffle oil , parmesan bruschetta is a winner ! )"], "output": "['asparagus', ['winner']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wine list is extensive without being over-priced ."], "output": "['Wine', ['extensive', 'without']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Be sure to try the seasonal , and always delicious , specials ."], "output": "['specials', ['try', 'seasonal', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I loved this place ! !"], "output": "['place', ['loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded ."], "output": "['atmosphere', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was very good , a great deal , and the place its self was great ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is very freindly , they make it feel like you 're eating in a freindly little european town ."], "output": "['wait', ['freindly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "['people', ['evil', 'incompetent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I like Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "['Cafe', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."], "output": "['service', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place ."], "output": "['staff', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place ."], "output": "['Cafe', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Pizza here is consistently good ."], "output": "['Pizza', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Salads are a delicious way to begin the meal ."], "output": "['Salads', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You should pass on the calamari ."], "output": "['calamari', ['pass']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Decor is charming ."], "output": "['Decor', ['charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is average ."], "output": "['Service', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["What a great place ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['ambience', ['fun']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "['food', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would definitely recommend SEA if you like thai cuisine !"], "output": "['thai', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I was here a few weeks back and we had the worst customer service experience at a restaurant ever ."], "output": "['customer', ['worst']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I absolutely Loved this place ."], "output": "['place', ['Loved']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['atmosphere', ['Excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['dishes', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Excellent atmosphere , delicious dishes good and friendly service ."], "output": "['service', ['good', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wine list is also really nice ."], "output": "['wine', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['drinks', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['staff', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything was wonderful ; food , drinks , staff , mileau ."], "output": "['mileau', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would highly recommend this place !"], "output": "['place', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I have been to Casimir over 5 times and I have always had a great time there ."], "output": "['Casimir', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is great and reasonably priced ."], "output": "['food', ['great', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['staff', ['nice', 'stressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "['unisex', ['stressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['caviar', ['spectacular', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it ."], "output": "['waitstaff', ['hospitable', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Considering we were the last patrons there and it was after the closing time , the waitstaff did not rush us at all and made us feel comfortable and relaxed ."], "output": "['waitstaff', ['comfortable', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['caviar', ['delicious', 'top']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "['service', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Nice Family owned traditional restaurant ."], "output": "['restaurant', ['traditional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Fresh ingredients and everything is made to order ."], "output": "['ingredients', ['Fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Friendly staff that actually lets you enjoy your meal and the company you 're with ."], "output": "['staff', ['Friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I found the food to be outstanding , particulary the salmon dish I had ."], "output": "['salmon', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I also ordered the Change Mojito , which was out of this world ."], "output": "['Change', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friends settled for rice dishes , but we came back the following day to try the dim sum , which was good ... not outstanding , but good ."], "output": "['dim', ['good', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['back', ['worth', 'cool']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ate out in the back patio , which is worth it as it 's cool and the music is hear well there ."], "output": "['music', ['well']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Overall , excellent restaurant !"], "output": "['restaurant', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was good ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was nice and calm ."], "output": "['place', ['nice', 'calm']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["but the service was a bit slow ."], "output": "['service', ['slow']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The buffet had a nice selection ."], "output": "['buffet', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['food', ['average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was average or above including some surprising tasty dishes ."], "output": "['dishes', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was also very good ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['cheesecake', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "['pastries', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I would recommend Roxy 's for that , but not for their food ."], "output": "['food', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My son and his girlfriend both wanted cheeseburgers and they were huge !"], "output": "['cheeseburgers', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Consequently , their burgers fell apart in their hands and made such a mess that they did'nt feel like finishing them ."], "output": "['burgers', ['fell']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I had a huge pastrami sandwich on a roll ."], "output": "['pastrami', ['huge']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "['food', ['forgotten']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "['place', ['trendi']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish ."], "output": "['food', ['spicy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["And the Tom Kha soup was pathetic ."], "output": "['Tom', ['pathetic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you want good authentic Thai this place is not the place to go ."], "output": "['Thai', ['good', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We went here for lunch a couple of weeks ago on a Saturday , and I was thoroughly impressed with the food ."], "output": "['food', ['impressed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['pesto', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before ."], "output": "['spicy', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["THe back garden sitting area is very pleasant , where you can see their personal herb garden ."], "output": "['back', ['pleasant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the lobster sandwich and it was FANTASTIC ."], "output": "['lobster', ['FANTASTIC']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['portion', ['fine']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My husband said he could 've eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "['french', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['scallops', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "['sauce', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We waited at the bar and had martinis that were just right ."], "output": "['martinis', ['right']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["love the food ."], "output": "['food', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["it 's the only place you can get yummy authentic japanese comfort food ."], "output": "['japanese', ['yummy', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['food', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['menu', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great food , good size menu , great service and an unpretensious setting ."], "output": "['setting', ['unpretensious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['dishes', ['unique', 'tasty', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."], "output": "['pistachio', ['amazing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I 'm glad I was introduced to this place and this is a rare gem in NY ."], "output": "['place', ['glad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The freshest , best variety , and the fastest delivery ."], "output": "['delivery', ['fastest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was excellent and the food was delicious ."], "output": "['food', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['sushi', ['particular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['ceviche', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['crab', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['assorted', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['rolls', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['two', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "['banana', ['please']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Definitely a great spot for a nice occasion or date ."], "output": "['spot', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['Thai', ['Average']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Average to good Thai food , but terrible delivery ."], "output": "['delivery', ['terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food arrived 20 minutes after I called , cold and soggy ."], "output": "['food', ['cold', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a wonderful place on all stand points especially value ofr money ."], "output": "['place', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["An excellent service"], "output": "['service', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We were greeted promptly by the waiter who was very nice and cordial ."], "output": "['waiter', ['nice', 'cordial']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["She was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about Indian food ."], "output": "['dishes', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food looked very appetizing and delicious since it came on a variety of fancy plates ."], "output": "['food', ['appetizing', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We ended our great experience by having Gulab Jamun ( dessert ) recommended by the waiter ."], "output": "['Gulab', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I thanked my friend who recommended me this restaurant and will certainly recommend it to others ."], "output": "['restaurant', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['Service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service here was great , food was fantastic ."], "output": "['food', ['fantastic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['Guacamole+shrimp', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Guacamole+shrimp appetizer was really great , we both had the filet , very good , did n't much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "['filet', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can not go wrong with this place ."], "output": "['place', ['wrong']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['food', ['outstanding']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is outstanding and the service is quick , friendly and very professional ."], "output": "['service', ['quick', 'friendly', 'professional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Always a nice crowd , but never loud ."], "output": "['crowd', ['nice', 'never']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I am reluctant to write because I would not want my jem of a pizza place to become overcrowded ."], "output": "['pizza', ['overcrowded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["By far , the best pizza in Manhattan ."], "output": "['pizza', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['crust', ['thin']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['staff', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "['ingredients', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was really , really fresh ."], "output": "['fish', ['fresh']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["We all agreed that mare is one of the best seafood restaurants in New York ."], "output": "['mare', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I stumbled upon this great pizzeria as I explored my new neighborhood ."], "output": "['pizzeria', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["All of the pizzas are terrific and the price is even better !"], "output": "['pizzas', ['terrific']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I highly recommend the Sophia pizza ."], "output": "['Sophia', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['food', ['mediocre']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "['service', ['horrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For the people who want great food plus great service , Roxy is a place to AVOID !"], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The first time the sushi was outstanding , the second time it was a little bland ."], "output": "['sushi', ['outstanding', 'bland']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['blond', ['soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['premium', ['soothing']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "['service', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['kitchen', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["While their kitchen food is delicious , their Sushi is out of this world ."], "output": "['Sushi', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Mizu is home to creative and unique rolls not to found anywhere else ."], "output": "['rolls', ['unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['cuisine', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "['service', ['attentive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Warning : You may find it difficult to dine at other Japanese restaurants after a visit to Mizu !"], "output": "['Mizu', ['difficult']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['people', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['food', ['does']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ."], "output": "['Thalia', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I ordered the smoked salmon and roe appetizer and it was off flavor ."], "output": "['smoked', ['off']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['entree', ['bland', 'small']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The entree was bland and small , dessert was not inspired ."], "output": "['dessert', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I expected quite a bit more from such an expensive menu ."], "output": "['menu', ['expensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['view', ['spectacular']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The view is spectacular , and the food is great ."], "output": "['food', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Wonderful strawberry daiquiries as well !"], "output": "['strawberry', ['Wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Authentic Taiwanese food that 's cheap ... what more could you ask for ?"], "output": "['Taiwanese', ['Authentic', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['food', ['delicious', 'simple']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "['outdoor', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Kind , attentive wait staff ."], "output": "['wait', ['Kind', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."], "output": "['scallops', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."], "output": "['mahi', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["My friend devoured her chicken and mashed potatos ."], "output": "['chicken', ['devoured']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Delicious crab cakes too ."], "output": "['crab', ['Delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['garden', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Even if the food was n't this good , the garden is a great place to sit outside and relax ."], "output": "['food', ['was']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great neighborhood joint ."], "output": "['joint', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['selection', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['pizza', ['nice']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice ."], "output": "['Basil', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Their calzones are horrific , bad , vomit-inducing , YUCK ."], "output": "['calzones', ['horrific', 'bad', 'vomit-inducing', 'YUCK']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The counter service is bad ."], "output": "['counter', ['bad']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The dosas are skimpy , unattractive and drip with grease , and personally I 'd drink popcorn topping before I 'd eat another one of these ."], "output": "['dosas', ['skimpy', 'unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sandwiches are dry , tasteless and way overpriced ."], "output": "['sandwiches', ['dry', 'tasteless', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['place', ['unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['room', ['unattractive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "['clerks', ['unhelpful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Seriously , this place kicks ass ."], "output": "['place', ['kicks']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['atmosphere', ['unheralded']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['service', ['impecible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "['food', ['magnificant']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Best Italian food I ever had ( and being Italian , that means alot ) ."], "output": "['Italian', ['Best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is such a lovely , peaceful place to eat outside ."], "output": "['place', ['lovely', 'peaceful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty ."], "output": "['restaurant', ['beautiful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['food', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['basic', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "['drinks', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is a great place to take out-of-towners , and perfect for watching the sunset ."], "output": "['place', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great sushi experience ."], "output": "['sushi', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Unique apppetizers ."], "output": "['apppetizers', ['Unique']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try sushimi cucumber roll ."], "output": "['sushimi', ['Try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['spreads', ['Good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['beverage', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good spreads , great beverage selections and bagels really tasty ."], "output": "['bagels', ['tasty']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service is awful ."], "output": "['service', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place is not worth the prices ."], "output": "['place', ['not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Love Pizza 33 ..."], "output": "['Pizza', ['Love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I will be out with friends and all of a sudden I am hungry and I only crave one thing ... their Pizza ."], "output": "['Pizza', ['crave']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This tiny Williamsburg spot is always pleasantly surprising ."], "output": "['Williamsburg', ['surprising']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['pizza', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC ."], "output": "['proprietor', ['nicest']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['cream', ['out']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The cream cheeses are out of this world and I love that coffee ! !"], "output": "['coffee', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Bagels are ok , but be sure not to make any special requests !"], "output": "['Bagels', ['ok']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the turkey burgers are scary !"], "output": "['turkey', ['scary']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The sushi was awful !"], "output": "['sushi', ['awful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rice was poor quality and was cooked so badly it was hard ."], "output": "['rice', ['poor', 'cooked', 'hard']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "['sushi', ['bland', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fish was adequate , but inexpertly sliced ."], "output": "['fish', ['adequate', 'inexpertly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Good , fast service ."], "output": "['service', ['Good', 'fast']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Food is great and inexpensive ."], "output": "['Food', ['great', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The location is perfect ."], "output": "['location', ['perfect']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Well , this place is so Ghetto its not even funny ."], "output": "['place', ['Ghetto', 'not']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['bottle', ['love']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here ."], "output": "['music', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awsome Pizza especially the Margheritta slice ."], "output": "['Pizza', ['Awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Awsome Pizza especially the Margheritta slice ."], "output": "['Margheritta', ['Awsome']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Great atmoshere and worth every bit ."], "output": "['atmoshere', ['Great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['staff', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Winnie and her staff are the best crew you can find serving you ."], "output": "['Winnie', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is reliable and the price is moderate ."], "output": "['food', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["For authentic Thai food , look no further than Toons ."], "output": "['Thai', ['authentic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , or sample anything on the appetizer menu ... they 're all delicious ."], "output": "['Pad', ['Try', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Try the Pad Thai , or sample anything on the appetizer menu ... they 're all delicious ."], "output": "['appetizer', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Everything about this restaurant was special ."], "output": "['restaurant', ['special']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was attentive , yet discreet ."], "output": "['service', ['attentive', 'discreet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal ."], "output": "['brioche', ['cute', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The place was quiet and delightful ."], "output": "['place', ['quiet', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['Service', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service was good and food is wonderful ."], "output": "['food', ['wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did not try the caviar but I tried their salmon and crab salad ( they are all good )"], "output": "['salmon', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I did not try the caviar but I tried their salmon and crab salad ( they are all good )"], "output": "['crab', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["It is definitely a good spot for snacks and chat ."], "output": "['spot', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["As a retired hipster , I can say with some degree of certainty that for the last year Lucky Strike has been the best laid-back late night in the city ."], "output": "['Lucky', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she's-way-cuter-than-me-that-b @ # $ * way ) ."], "output": "['wait', ['pleasant', 'fun', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['food', ['yummy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['mussels', ['yummy', 'cooked-to-perfection']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is yummy , especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "['fries', ['yummy', 'crispy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["But the best part about LS is the late night atmosphere , delightfully free of the BTs ."], "output": "['late', ['best']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['martini', ['delish']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['Vanilla', ['recommend']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['setting', ['homey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You can get a completely delish martini in a glass ( that 's about 2 1/2 drinks ) for $ 8.50 ( I recommend the Vanilla Shanty , mmmm ! ) in a great homey setting with great music ."], "output": "['music', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The in-house lady DJ on Saturday nights has outrageously good taste in music , and moreover , takes requests ."], "output": "['in-house', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You ca n't go wrong with this place ."], "output": "['place', ['ca']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Suan is a great place that I often take my friends ( classmates ) too ."], "output": "['Suan', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['location', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable , makes students go back to Suan again and again ."], "output": "['Suan', ['reasonable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I LOVE their Thai"], "output": "['Thai', ['LOVE']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["noodles with shrimp and chicken and coconut juice is the MUST !"], "output": "['noodles', ['MUST']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["In summer-eat outside on a terrace ( another great feature of Suan ) ! ! !"], "output": "['terrace', ['great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine a friendlier staff working in a restaurant ."], "output": "['staff', ['friendlier']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I can not imagine better Indian food in all of the city ."], "output": "['Indian', ['better']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['chef', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["During the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "['staff', ['changed']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food now is inconsistent ."], "output": "['food', ['inconsistent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This is the kind of place you 'd like to take all your friends to and still keep a secret ."], "output": "['place', ['like']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The setting is casual and romantic ."], "output": "['setting', ['casual', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is excellent !"], "output": "['food', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["if you 're daring , try the balsamic vinegar over icecream , it 's wonderful !"], "output": "['balsamic', ['try', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The rest of the dim sum , though pricey by Chinatown standards , is worth it ."], "output": "['dim', ['pricey', 'worth']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['wait', ['long']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."], "output": "['atmosphere', ['sleek']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['turnip', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['roast', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["A few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "['egg', ['skip']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food was exceptional ."], "output": "['food', ['exceptional']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["I choose to go with one of the special , the braised lamb shank in red wine , which was excellent ."], "output": "['braised', ['excellent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['service', ['friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The service was friendly and the atmosphere was casual ."], "output": "['atmosphere', ['casual']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "['meal', ['enjoy', 'great']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "['restaurant', ['noisy']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['interior', ['cute']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "['place', ['little']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the pad se ew chicken was delicious , however the pad thai was far too oily ."], "output": "['pad', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["the pad se ew chicken was delicious , however the pad thai was far too oily ."], "output": "['pad', ['oily']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Have eaten at Ginger House several times , and it 's always good ."], "output": "['Ginger', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The fried dumplings are GREAT !"], "output": "['fried', ['GREAT']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Finally a reliable Chinese restaurant !"], "output": "['Chinese', ['reliable']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Terrible , terrible management - deserves to be shut-down ."], "output": "['management', ['Terrible', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["delicious bagels , especially when right out of the oven ."], "output": "['bagels', ['delicious']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['Spreads', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Spreads and toppings are great - though a bit pricey ."], "output": "['toppings', ['great', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Service is fast and friendly ."], "output": "['Service', ['fast', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['food', ['decent']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."], "output": "['ambience', ['annoying']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["Rao is a good restaurant , but it 's nothing special ."], "output": "['Rao', ['good']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["You must try the shrimp appetizers ."], "output": "['shrimp', ['try']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "} {"task_type": "generation", "dataset": "towe", "input": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "['ambience', ['correct']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"It 's fast , light , and simple to use .\" Output: ['use', ['fast', 'light', 'simple']] "}