diff --git "a/laptop/train.jsonl" "b/laptop/train.jsonl" new file mode 100644--- /dev/null +++ "b/laptop/train.jsonl" @@ -0,0 +1,1060 @@ +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["All for such a great price."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is a little glary, and I hated the clicking buttons, but I got used to them."], "output": "[['screen', 'negative'], ['clicking buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I took it to friend who temporarily fixed it and I finally paid about 1500 for the extended warranty."], "output": "[['extended warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I always use a backup hard disk to store important files at all times."], "output": "[['hard disk', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I purchased this netbook after my original Toshiba laptop crashed right after the warranty expired."], "output": "[['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["cosmetically, the only thing they changed was 2 of the Function keys at the top."], "output": "[['Function keys', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['command prompt', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['browser', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["it has 3 usb ports, 1 sd memory card reader and an sd memory car expansion."], "output": "[['usb ports', 'neutral'], ['sd memory card reader', 'neutral'], ['sd memory car expansion', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-I propose that I can just swap the hard drives."], "output": "[['hard drives', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They also have a longer service life than other computers (I have several friends who still use the older Apple PowerBooks)."], "output": "[['service life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing I wish is the 15 inch MacBook Pro has much better speakers on the side of the keyboard."], "output": "[['speakers', 'negative'], ['keyboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I just took the broken cords into the Apple store and they gave me new ones."], "output": "[['cords', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The store honored their warrenty and made the comment that they don't even recommend the HP brand because of the problems with their warrentys."], "output": "[['warrenty', 'positive'], ['warrentys', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would definitely reccomend this if you are in the market for an easy to use, stylish, fun, awesome computer."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["OS X is solid with lots of innovations such as quicklook which save heaps of time."], "output": "[['OS X', 'positive'], ['quicklook', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had to pay $100 for a universal charger for this cheap $300 laptop."], "output": "[['universal charger', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love a \"pc\" but I was ready for a change and tired of the windows system."], "output": "[['windows system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Im glad that it has such great features in it."], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My last computer, a Toshiba, cost only $400, and worked like a charm for many years."], "output": "[['cost', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love WIndows 7 which is a vast improvment over Vista."], "output": "[['WIndows 7', 'positive'], ['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is a REAL touchpad, not the toy I saw in other brands."], "output": "[['touchpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Just a black screen!"], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the touch pad is fine - again, it's a real touch pad."], "output": "[['touch pad', 'positive'], ['touch pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After numerous calls to Applecare tech support, I was directed to send in my computer;"], "output": "[['Applecare tech support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My kids (and dogs) destroyed two power cords by pulling on them."], "output": "[['power cords', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I was also able to install and use my Photoshop and AfterEffects programs easily."], "output": "[['Photoshop', 'positive'], ['AfterEffects programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, the extended warranty was a problem."], "output": "[['extended warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["iTunes is a handy music-management program, and it is essential for anyone with an iPod."], "output": "[['iTunes', 'positive'], ['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The shop will definitely push the problem to the service center."], "output": "[['service center', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['webcam', 'neutral'], ['keyboard', 'neutral'], ['carry', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I called their repair depot as was told they would send Me a new box to return the computer to the repair depot."], "output": "[['repair depot', 'neutral'], ['repair depot', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I will stack it up against laptops that cost twice as much any day."], "output": "[['cost', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I could not find a phone number anywhere to call an actual live person for tech support and had to result the their online chat."], "output": "[['tech support', 'negative'], ['online chat', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It didn't take me long to get switched over to the Mac computer programs and navigation - it's been just fine and like the way this laptop functions much better."], "output": "[['programs', 'positive'], ['navigation', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love windows 7 but i can'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 7', 'positive'], ['ergonomics', 'negative'], ['connections', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There are so many wonderful features and benefits to the new MacBook!"], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There was a little difficulty doing the migration as the firewire cable system can't be used with the iBook."], "output": "[['firewire cable system', 'negative'], ['iBook', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery holds up well, it's built very solidly, and runs fast."], "output": "[['battery', 'positive'], ['built', 'positive'], ['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I was told by many that it was a great computer, but we got one of these, and it worked great for one year, and as soon as the warrenty was up, then it got really bad."], "output": "[['warrenty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0A coupla months later, they change my hard drive."], "output": "[['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The apple systems are over priced luxurys that arn'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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["And the screen on this thing is absolutely amazing for high quality videos and movies and gaming."], "output": "[['screen', 'positive'], ['gaming', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A seventy dollar mouse!"], "output": "[['mouse', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life also doesn't keep up with the claim but still I think macbook is much ahead from the rest of the pack."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["So, I paid a visit to LG notebook service center at Alexandra Road, hoping they can make the hinge tighter."], "output": "[['LG notebook service center', 'neutral'], ['hinge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They are by far the easiest systems to actually learn about computers with."], "output": "[['systems', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Easy to carry, can be taken anywhere, can be hooked up to printers,headsets."], "output": "[['carry', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The lcd screen stopped working on mine after 10 months."], "output": "[['lcd screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The wheel that turns the volume up and down doesn't work in real time."], "output": "[['wheel', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["When it come time for warranty service to Toshiba you don't matter."], "output": "[['warranty service to Toshiba', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Again- windows based machines were not giving me anything to work with!"], "output": "[['windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Theres a built in camera with special effects- for video and photography."], "output": "[['built in camera', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's perfect for everything and runs faster than an average pc!"], "output": "[['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I can't say enough of how satisfied I am with their product and help aftermarket."], "output": "[['product and help aftermarket', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Waiting for the i7 was well worth it, great value for the price."], "output": "[['price', 'positive'], ['i7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They said that my computer was covered on an extended warranty, and that products with\u00a0 extended warranties are taken care of through third parties and not Sony itself anymore."], "output": "[['extended warranty', 'neutral'], ['extended warranties', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["In desparation, I called their Customer Service number and was told that my warranty had expired (2 days old) and that the priviledge of talking to a technician would cost me (\"have your credit card ready\")."], "output": "[['Customer Service number', 'neutral'], ['warranty', 'negative'], ['talking to a technician', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['program', 'neutral'], ['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But, buy this model and just purchase 4GB of RAM (2x2GB for $92 or 1x4GB for $99), and save yourself $100 than the other model with 8GB of RAM."], "output": "[['4GB of RAM', 'neutral'], ['8GB of RAM', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 my Documents folder', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['word processing program', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is hardly any memory on the computer's hard drive."], "output": "[['memory', 'negative'], ['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The ease of set up was terrific."], "output": "[['set up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now I have the best of both worlds with all of the power and ease of the Mac!"], "output": "[['power', 'positive'], ['ease', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The best thing to do is build your own computer, but if u can'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 signifant\u00a0 amount off the price."], "output": "[['components', 'positive'], ['price', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['Warrenty', 'neutral'], ['agents', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the glass touchpad."], "output": "[['glass touchpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Images are crisp and clean."], "output": "[['Images', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It just works flawlessly!"], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Taking it back to Best Buy I found that a tiny plastic piece inside had broken (manuf issue)."], "output": "[['manuf', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was hard to handle and operate at school."], "output": "[['handle', 'negative'], ['operate', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Otherwise, all other features are a 1."], "output": "[['features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also the display is exceptional!"], "output": "[['display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wish Toshiba would allow their customers to select an option that only boots the OS at setup and removes all the unnecessary stuff."], "output": "[['OS', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Overall the computer is very easy to use, the screen is perfect, great computer, my daughter loves."], "output": "[['screen', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only downfall is a lot of the software I have won't work with Mac and iWork is not worth the price of it."], "output": "[['iWork', 'negative'], ['software', 'negative'], ['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Purchased a Toshiba Lap top it worked good until just after the warrenty went out."], "output": "[['warrenty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Awesome laptop and the perfect size to carry around in college."], "output": "[['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The feel of this is better than the Toshiba, too."], "output": "[['feel', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Finally, the biggest problem has been tech support."], "output": "[['tech support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The unibody design is edgy and durable."], "output": "[['unibody design', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Also, the battery does not last very long at all."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wish it had a webcam though, then it would be perfect!"], "output": "[['webcam', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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 jack', 'neutral'], ['DC jack', 'neutral'], ['power brick', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing that I don'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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["defective software."], "output": "[['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 Business', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["BEST BUY - 5 STARS + + + (sales, service, respect for old men who aren't familiar with the technology) DELL COMPUTERS - 3 stars DELL SUPPORT - owes a me a couple."], "output": "[['sales', 'positive'], ['service', 'positive'], ['DELL SUPPORT', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My laptop now has no battery."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Oh and if thats not bad enough it doesn'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 cd', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The layout of the MacBook is horrible and confusing;"], "output": "[['layout', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Iphoto is great for adding pictures right to facebook and other social networking sites."], "output": "[['Iphoto', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\" This isn't a big deal, I haven't noticed the issue with DVDs or other media, only through USB output."], "output": "[['USB output', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We love the size of the screen, although it is still lightweight and very easy to tote around."], "output": "[['size of the screen', 'positive'], ['tote', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I already have a HP laptop I bought last year that's standard size."], "output": "[['size', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": [", Applications respond immediately (not like the tired MS applications)."], "output": "[['Applications', 'positive'], ['MS applications', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is no number pad to the right of the keyboard which is a bummer."], "output": "[['pad', 'negative'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The price is another driving influence that made me purchase this laptop."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The PhotoBooth is a great program, it takes very good pictures with the built-in camera."], "output": "[['PhotoBooth', 'positive'], ['program', 'positive'], ['built-in camera', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['Cords', 'negative'], ['power', 'negative'], ['headphones', 'negative'], ['mic', 'negative'], ['network connection', 'negative'], ['setup', 'negative'], ['cords', 'negative'], ['cords', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-When battery life went to 4 hours or less, took it to the MacHouse Amsterdam for repair (26th of August)."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought this laptop and found its TAB is not functioning."], "output": "[['TAB', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["it might be something deep within Windows, for I was unable to create a disk image on my hard drive."], "output": "[['Windows', 'negative'], ['hard drive', 'negative'], ['disk image', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But guess what? (you have to buy an external dvd drive it doesn't have a built in type) The notebook can't be used because it doesn't read anything for an external drive."], "output": "[['external dvd drive', 'negative'], ['external drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has far exceeded my expectations for power, storage, and abilitiy."], "output": "[['power', 'positive'], ['storage', 'positive'], ['abilitiy', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["First the screen goes completely out."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['security', 'positive'], ['pricetag', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-No backlit keyboard, but not an issue for me."], "output": "[['keyboard', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But we had paid for bluetooth, and there was none."], "output": "[['bluetooth', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I continued to take the computer in AGAIN and they replaced the hard drive and mother board yet again."], "output": "[['hard drive', 'negative'], ['mother board', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["after much effort and 10 days ASUS replaced itThe WiFi is very weak."], "output": "[['WiFi', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer was two weeks late in delivery because HP forgot to complete the required import paperwork."], "output": "[['delivery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Pay attention to the specs if you want these options."], "output": "[['specs', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['speaker grill', 'negative'], ['buttons', 'negative'], ['USB ports', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have never really been big on downloading anything so I wasn't too worried about getting a virus, plus I thought I was protected by Norton."], "output": "[['Norton', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The price is great for this model, I only plan on using it for media in the entertainment room."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the hinge design forced you to place various connections all around the computer, left right and front."], "output": "[['hinge design', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Apple is always great about the aesthetics of things, they always come up with good looking products."], "output": "[['aesthetics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's priced very reasonable and works very well right out of the box."], "output": "[['priced', 'positive'], ['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This computer I used daily nice compact design."], "output": "[['design', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Sometimes the screen even goes black on this computer."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My macbook is so much better looking and so thin!"], "output": "[['looking', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Small screen somewhat limiting but great for travel."], "output": "[['screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's also fairly easy to use the Operating System."], "output": "[['Operating System', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Overall, I experienced a huge change in that my mac runs pretty fast compared to my old PC."], "output": "[['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Since I've had this computer I've only used the trackpad because it is so nice and smooth."], "output": "[['trackpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love this program, it is superior to windows movie maker."], "output": "[['program', 'positive'], ['windows movie maker', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its not just slow on the internet, its slow in general."], "output": "[['internet', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The gray color was a good choice."], "output": "[['gray color', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 It was loaded with Windows Vista Home Premium--delivered with only 1GB of RAM, and it was a *dog*."], "output": "[['Windows Vista Home Premium', 'neutral'], ['1GB of RAM', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Another THREE weeks later I had my laptop back with a new mousepad, keys, and casing."], "output": "[['mousepad', 'neutral'], ['keys', 'neutral'], ['casing', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Ease of use is just one of the benefits I love about my Mac."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer runs extremely slowly, whether opening Word or My Computer."], "output": "[['runs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["lightweight, long battery life, excellent transition from PC;"], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I eventually did the migration from my iMac backup disc which uses USB."], "output": "[['iMac backup disc', 'neutral'], ['USB', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The speakers on it are useless too."], "output": "[['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The video card is great for media, and above average for gaming, but not a gamers first choice."], "output": "[['video card', 'conflict'], ['gaming', 'positive'], ['media', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The DVD burner broke after burning 3 DVD'd during that time!"], "output": "[['DVD burner', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would recommend this computer to anyone searching for the perfect laptop, and the battery life is amazing."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I run windows via bootcamp for the couple programs I do not want to buy a mac version of, like my cad programs."], "output": "[['windows', 'neutral'], ['programs', 'neutral'], ['cad programs', 'neutral'], ['bootcamp', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Speakers don't get that loud, but good enough."], "output": "[['Speakers', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They need to stop outsoucing and send some complaint calls to US based customer service agents for those who live in the United states."], "output": "[['customer service agents', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Another thing is that after only a month the left mouse key broke and it costed $175 to send it in to fix it."], "output": "[['left mouse key', 'negative'], ['costed', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Some problems can be fixed if you purchase new software, but there is no guarentee."], "output": "[['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["For the [$] price (special offer) this is a great laptop."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After replacing the hard drive the battery stopped working (3 months of use) which was frustrating."], "output": "[['hard drive', 'neutral'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 disc', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 doesn't seem to be a problem."], "output": "[['edges', 'negative'], ['incase shells', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 chat', 'negative'], ['quality', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 First it burned or fused the power adapter plug."], "output": "[['power adapter plug', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The games included are very good games."], "output": "[['games', 'neutral'], ['games', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The pictures are clear as can be."], "output": "[['pictures', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have in the past gotten superfine sandpaper and \"fixed\" the edges by rounding them off."], "output": "[['edges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is nothing to complain about the system."], "output": "[['system', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 Tech', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After 2 months of complaints, Asus finally sent the right power supply to my techies."], "output": "[['power supply', 'neutral'], ['techies', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops."], "output": "[['software', 'neutral'], ['operate', 'positive'], ['gadgets', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The touch pad is among the best."], "output": "[['touch pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I don't have stupid pop up windows (even when I have pop ups blocked), I don'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 up windows', 'positive'], ['web programming software', 'positive'], ['pop ups', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['processor', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I recommend for word processing and internet users."], "output": "[['word processing', 'positive'], ['internet', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen takes some getting use to, because it is smaller than the laptop."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Plain and simple, it(laptop) runs great and loads fast."], "output": "[['runs', 'positive'], ['loads', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard is plastic and spongey feeling."], "output": "[['Keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Very good quality and well made."], "output": "[['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["and it comes with the new OSX that comes with new features that makes the use more easy."], "output": "[['OSX', 'positive'], ['features', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The much lauded combined touch pad and clicker is a nightmare."], "output": "[['combined touch pad and clicker', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Laptop is advertised as a 15\" but the casing looks like that of a 17\"."], "output": "[['casing', 'negative'], ['15\"', 'neutral'], ['17\"', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard good sized and wasy to use."], "output": "[['Keyboard', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am using the external speaker- sound is good."], "output": "[['external speaker', 'positive'], ['sound', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Another issue I have with it is the battery."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Love the speed, especially!"], "output": "[['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The magnetic plug-in power charging power cord is great (I even put it to the test by accident)- excellent innovation!"], "output": "[['magnetic plug-in power charging power cord', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had 3 months when the ports started going out."], "output": "[['ports', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["10 hours of battery life is really something else."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['display', 'positive'], ['browsers', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["All in all, a very disappointing experience except that I learned how good the Geek Squad is and also Customer Service."], "output": "[['Customer Service', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Tech support tells me the latter problem is a power supply problem and have offered to fix it if it happens again."], "output": "[['Tech support', 'positive'], ['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["For the not so good, I got the stock screen - which is VERY glossy."], "output": "[['stock screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have had to call with a few questions or issues and they have helped me for free, even without the warranty."], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Yes, the computer was light weight, less expensive than the average laptop, and was pretty self explantory in use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The graphics are stunning."], "output": "[['graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also purchased iWork to go with it which has programs for word processing, spreadsheets, and presentations (similar to Microsoft Office)."], "output": "[['iWork', 'neutral'], ['programs', 'neutral'], ['Microsoft Office', 'neutral'], ['word processing', 'neutral'], ['spreadsheets', 'neutral'], ['presentations', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had a USB connect but, i can't use it because it is not compatible."], "output": "[['USB connect', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["In addition, there is photo detection software that will allow you to group all the photos together based upon the people in the picture."], "output": "[['photo detection software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": [") I also tried the touch pad and compared it to other netbooks in the store."], "output": "[['touch pad', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Then the hard drive failed;"], "output": "[['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["However, my girlfriend realized that the netbook's hinge is a bit loose (when you open or close the LCD)."], "output": "[['hinge', 'negative'], ['LCD', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My daughter uses it for games, email, facebook, pictures and music."], "output": "[['games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This laptop looked brand new and was shipped very quickly."], "output": "[['shipped', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['speed', 'negative'], ['priced', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['price', 'positive'], ['budget', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The 17 inch screen is very large, but the computer is very light."], "output": "[['17 inch screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the only problem is that i had to add 1 gb RAM, the computer was kinda slow."], "output": "[['RAM', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The iLife software that comes with the computer is so simple to use and produces a great finished product."], "output": "[['iLife software', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 don't have to worry about viruses."], "output": "[['software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["With a MAC computer I have more free time as I don't have to wait for windows to boot up or shut down and all the viruses associated with windows."], "output": "[['windows', 'negative'], ['boot up', 'negative'], ['shut down', 'negative'], ['windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I run Dreamweaver, Final Cut Pro 7, Photoshop, Safari, Firefox, MSN Messenger and a few other applications constantly at the same time."], "output": "[['applications', 'neutral'], ['Dreamweaver', 'neutral'], ['Final Cut Pro 7', 'neutral'], ['Photoshop', 'neutral'], ['Safari', 'neutral'], ['Firefox', 'neutral'], ['MSN Messenger', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The fact that you can spend over $100 on just a webcam underscores the value of this machine."], "output": "[['webcam', 'neutral'], ['value', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's still beautiful and has better color reproduction than I could ever expect from a notebook."], "output": "[['color reproduction', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["In addition, all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations."], "output": "[['Pages', 'positive'], ['Keynotes', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I chose the iBookG4, a laptop that is an attractive computer with a large screen big enough to please anyone."], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I reloaded with Windows 7 Ultimate, and the Bluetooth and Fingerprint reader (software) would not load."], "output": "[['Windows 7 Ultimate', 'negative'], ['Bluetooth', 'negative'], ['Fingerprint reader', 'negative'], ['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["they improved nothing else such as Resolution, appearance, cooling system, graphics card, etc."], "output": "[['Resolution', 'negative'], ['appearance', 'negative'], ['cooling system', 'negative'], ['graphics card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Actually, I had noticed the one on the sales floor also didn't have sound!"], "output": "[['sound', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Product support very poor as each phone call costs me long distan."], "output": "[['Product support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["So then you may be lucky to get ahold to someone who understands that its no good and they will let you send it back, but of course you are taking a chance of them testing it out to see what has happened, and they tell you that it was not on their side , then you are stuck paying for the repair (the price of a new one)."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This just keeps having it's hard drive replaced!"], "output": "[['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If you want a little more custom ability, drop a few bucks and upgrade to one of the more robust versions of Win 7 and grab a 2GB stick of memory to spice it all up a bit more."], "output": "[['Win 7', 'positive'], ['2GB stick of memory', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A great computer for light home use and business use."], "output": "[['home use', 'positive'], ['business use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["LOVE THIS LAPTOP WONDERFUL PRICE FOR WHAT YOU GET!"], "output": "[['PRICE', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the feel of the key board, as well as the trackpad."], "output": "[['key board', 'positive'], ['trackpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["pretty much everything else about the computer is good it just stops working out of no were."], "output": "[['working', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Long story short, since I experience so many problems with my laptop every since I bought it from day one, I didn't ask for a new laptop or a refund of what I pay for a crapy laptop, but just an extension of my laptop warranty for another year, they made a big deal of out that and after so many calls and complaints about their products and services, they finally gave in."], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is short on space, and downloads always had problems being completed, or were said to be 'corrupted'."], "output": "[['space', 'negative'], ['downloads', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Battery life needs more life."], "output": "[['Battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 GPS software', 'negative'], ['Microsoft Office 2003', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Quality Display I love HP,, it's the only computer/printer we will buy."], "output": "[['Quality Display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 look', 'positive'], ['gaming performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The speed gives you the power to work on these projects seamlessly, and multiple at a time if you sowish."], "output": "[['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It had most of the features and all of the power that I wanted to replace my desktop machine."], "output": "[['features', 'positive'], ['power', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It pretty much does everything we could ever need, and looks great to boot."], "output": "[['boot', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This computer doesn't do that well with certain games it can't play some and it becomes too hot while playing games."], "output": "[['games', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have Vista, so I am unable to install and uninstall some programs."], "output": "[['Vista', 'negative'], ['programs', 'negative'], ['install', 'negative'], ['uninstall', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["YOU WILL NOT BE ABLE TO TALK TO AN AMERICAN WARRANTY SERVICE IS OUT OF COUNTRY."], "output": "[['WARRANTY SERVICE', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I think part of the problem with this computer is Vista, yet I know Vista isn'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', 'negative'], ['Vista', 'negative'], ['operating system', 'neutral'], ['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Macbook arrived in a nice twin packing and sealed in the box, all the functions works great."], "output": "[['twin packing', 'positive'], ['functions', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Oh yeah, don't forget the expensive shipping to and from HP."], "output": "[['shipping', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I loaded windows 7 via Bootcamp and it works flawlessly!"], "output": "[['windows 7', 'positive'], ['Bootcamp', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Some features arent friendly ( volume wheel, sound quality, etc."], "output": "[['volume wheel', 'negative'], ['sound quality', 'negative'], ['features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The machine has a bluray player the book has no mention of it or how to connect it to your HDTV."], "output": "[['bluray player', 'neutral'], ['book', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Unfortunately, Apple's quality has continued to slide."], "output": "[['quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was still working, but there was nothing on the screen."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The capabilities using that program alone made me want a Mac."], "output": "[['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard could use some trimming."], "output": "[['Keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["That's very possible, but since they don't make Windows XP drivers for the sound card in this machine, I was stuck until Windows 7 came out."], "output": "[['Windows XP drivers', 'negative'], ['sound card', 'negative'], ['Windows 7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm learning the finger options for the mousepad that allow for quicker browsing of web pages."], "output": "[['mousepad', 'positive'], ['browsing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is nice, side view angles are pretty good."], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life is amazing, the versitility is outstanding."], "output": "[['battery life', 'positive'], ['versitility', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's fast, it's easy easy easy to set up, easy to hook to my wireless network."], "output": "[['set up', 'positive'], ['hook to my wireless network', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["then on top of it all their cusromer service center is in the middle east."], "output": "[['cusromer service center', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["With a mac you don't have to worry about antivirus software or firewall, it's so wonderful."], "output": "[['antivirus software', 'neutral'], ['firewall', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['service rep', 'neutral'], ['power adapter', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["can't reinstall with standard os cd because of proprietary hardware drivers."], "output": "[['standard os cd', 'negative'], ['proprietary hardware drivers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has a .1 ghz faster processor and a stock 500gb hard drive."], "output": "[['processor', 'positive'], ['500gb hard drive', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also love the design, the looks, the feel, and the my toshiba feature is wonderfull."], "output": "[['design', 'positive'], ['looks', 'positive'], ['feel', 'positive'], ['my toshiba feature', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I've haven'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 piece', 'negative'], ['usb port wires', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its good for playing my apps on Facebook or watching movies."], "output": "[['watching movies', 'positive'], ['playing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["(Beware, their staff could send you back making you feel that only they know what a computer is."], "output": "[['staff', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["10 plus hours of battery."], "output": "[['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is so much easier to use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["company provides UPS shipping, fast, great!"], "output": "[['shipping', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Aside from the trial software and the short battery life, lack of a webcam, its great."], "output": "[['trial software', 'negative'], ['battery life', 'negative'], ['webcam', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Screen size is perfect for portable use in any environment."], "output": "[['Screen size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This MacBook is an outstanding product with great value."], "output": "[['value', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They say it could be the motherboard again, but Dell."], "output": "[['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Macbook starts fast, doesn't crash, has a fantastic display, is small and light (I have the 13.3\" model), and isn't always complaining about updates, lost connections, errors, blue screens, etc."], "output": "[['display', 'positive'], ['starts', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My problem was with DELL Customer Service."], "output": "[['DELL Customer Service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing I would change about it is the mouse keys."], "output": "[['mouse keys', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 However the frozen screens kept happening."], "output": "[['screens', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is known as Safari, and if you are doing any website work, you should know that many hosting companies do not support it."], "output": "[['Safari', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If you want more information on macs I suggest going to apple.com and heading towards the macbook page for more information on the applications."], "output": "[['applications', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I've been impressed with the battery life and the performance for such a small amount of memory."], "output": "[['battery life', 'positive'], ['performance', 'positive'], ['memory', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Sound card is limited though."], "output": "[['Sound card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['ethernet', 'positive'], ['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['performance', 'negative'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The processor went on me, the fan went and the motherboard went."], "output": "[['processor', 'negative'], ['fan', 'negative'], ['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Another Great thing is the Beast graphics."], "output": "[['Beast graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["in 5 months the connect quality got worse and worse."], "output": "[['connect quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We figure that after everything HIS pc actually ended up costing $350 more than my original Mac."], "output": "[['costing', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Then it ceased charging at all."], "output": "[['charging', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["of course my warranty runs out next month."], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the multi-touch trackpad."], "output": "[['multi-touch trackpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had to re-install Windows within two weeks of the purchase and soon discovered cracks in the screen hinges."], "output": "[['Windows', 'negative'], ['screen hinges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The service I received from Toshiba went above and beyond the call of duty."], "output": "[['service', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 life', 'positive'], ['response', 'positive'], ['Internet focused activity', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I guess the only good thing that came out of these were the speakers and the subwoofer."], "output": "[['speakers', 'positive'], ['subwoofer', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 board', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 search', 'positive'], ['feature', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now the screen is going darker, darker, darker."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is light and the battery last a very long time."], "output": "[['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am not going to sit here and complain about it not having a cd drive and what not because it is a netbook, it is made to be compact and if you want all the other stuff get a laptop."], "output": "[['cd drive', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the mouse jumps around all the time and it clicks stuff i dont want it too."], "output": "[['mouse', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["What I'd like is for the laptop to run well without having to purchase additional memory."], "output": "[['memory', 'negative'], ['run', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly."], "output": "[['Linux', 'neutral'], ['security-prone OS', 'neutral'], ['performs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life is also relatively good."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 broad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I got my MacBook Pro because I wanted to do all the stuff I need to do without worrying about the system quitting on me or freezing for a few minutes."], "output": "[['system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is no need to open a program first and the cliick open or import."], "output": "[['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The built in camera is very useful when chatting with other techs in remote buildings on our campus."], "output": "[['built in camera', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["also it comes with very useful applications like iphoto that it is the best photo application i have ever had."], "output": "[['applications', 'positive'], ['iphoto', 'positive'], ['photo application', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Anyway, in early July of this year, the DVD burner stopped working, and the computer stared having issues with power supply."], "output": "[['DVD burner', 'negative'], ['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The online tutorial videos make it super easy to learn if you have always used a PC."], "output": "[['online tutorial videos', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am most impressed with the programming, including the iPhoto."], "output": "[['programming', 'positive'], ['iPhoto', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has a lot of memory and a great battery life."], "output": "[['memory', 'positive'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["First things first, Macbook pro has many applications to make life easier, unlike the windows computers."], "output": "[['applications', 'positive'], ['windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Everything from the design to the OS is simple and to the point."], "output": "[['design', 'positive'], ['OS', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 keyboard', 'neutral'], [\"PC's keyboard\", 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm still within the one year warranty but the repair \"depot\" has deemed that this time it was caused by physical abuse and is not covered."], "output": "[['warranty', 'negative'], ['repair \"depot\"', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Other than that its a great performing machine and well meets all my needs and more."], "output": "[['performing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If your time is worth anything to you, if you are tired of rebooting, reformatting, reinstalling, trying to find drivers, if you want a computer to work for you for a change, make the change to this computer."], "output": "[['drivers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not to mention, the battery life is absolutely amazing."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["In fact, somehow (and I never opened it up) some specks of dust or something got inside the screen and are now there permanently, behind the front of the screen, in the way of the display."], "output": "[['screen', 'negative'], ['screen', 'negative'], ['display', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 the battery is irreplaceable."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['performance', 'positive'], ['surf the web', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["At first, the computer seemed a great deal--seemingly high-end specs for a low, low price."], "output": "[['specs', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['cd drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I BOUGHT THIS LAP TOP AND THE CHARGE TIME DOSEN'T LAST AS LONG AS THEY SAY IT WILL MORE LIKE 2 HOURS."], "output": "[['CHARGE TIME', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["sometimes you will be moving your finger and the pointer will not even move."], "output": "[['pointer', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had static in the output, and I had to reduce the sound output quality to \"FM\" as opposed to the default \"CD."], "output": "[['sound output quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I took 3-4 years researching brands and prices of laptops."], "output": "[['prices', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wish iWork or MS Office came with the Mac, but MS Office doesn't even come with most pc laptops."], "output": "[['iWork', 'negative'], ['MS Office', 'negative'], ['MS Office', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['office', 'negative'], ['word processor', 'negative'], ['windows', 'neutral'], ['document creation', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But the biggest pain is that tech support is not available 24/7."], "output": "[['tech support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The internet capabilities are also very strong and picks up signals very easily."], "output": "[['internet capabilities', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The delivery was fast, and I would not hesitate to purchase this laptop again."], "output": "[['delivery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Asus facial recognition doesn't work and windows logon isn't either."], "output": "[['facial recognition', 'negative'], ['windows logon', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["And if you do a lot of writing, editing is a problem since there is no forward delete key."], "output": "[['delete key', 'negative'], ['editing', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Many kinds of software that is necessary to the working person is not available and cannot be downloaded."], "output": "[['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["All apple associates are always wiling to help you out with anything, no matter when you purchased the computer and how many years passed."], "output": "[['apple associates', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly."], "output": "[['OS', 'positive'], ['run', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had it four months when my disc drive refused to open."], "output": "[['disc drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Three weeks after I bought the netbook, the screen quit working."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Supplied software: The software that comes with this machine is greatly welcomed compared to what Windows comes with."], "output": "[['Supplied software', 'neutral'], ['software', 'positive'], ['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Called tech support and got the usual Acer \"We don't support software but for $$$ we can help you\" I explained there was no software involved in booting."], "output": "[['software', 'negative'], ['software', 'negative'], ['booting', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would like to use a different operating system altogether."], "output": "[['operating system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Loaded with bloatware."], "output": "[['bloatware', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The big screen allows you to enjoy watching movies , pictures and etc!"], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The quality, engineering design and warranty are superior--covers damage from dropping the laptop."], "output": "[['quality', 'positive'], ['engineering design', 'positive'], ['warranty', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is no need to purchase virus protection for Mac, which saves me a lot of time and money."], "output": "[['virus protection for Mac', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The AMD Turin processor seems to always perform so much better than Intel."], "output": "[['AMD Turin processor', 'positive'], ['Intel', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The hard drive crashed as well, and I had to buy a new power cord."], "output": "[['hard drive', 'negative'], ['power cord', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The machine is slow to boot up and occasionally crashes completely."], "output": "[['boot up', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Screen is crystal clear, yes it's small - but it's a netbook!"], "output": "[['Screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 pad', 'positive'], ['track pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has many great programs, such as ILife, iPhotos and others."], "output": "[['programs', 'positive'], ['ILife', 'positive'], ['iPhotos', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["EITHER THE COMPUTER IS TOO SLOW TO DETECT THE KEYS TYPED (THIS IS UNLIKELY AS I AM A SLOW TYPIST) OR THE KEYBOARD SIMPLY DOES NOT DETECT THE KEYS BEING TYPED."], "output": "[['KEYS', 'negative'], ['KEYBOARD', 'negative'], ['KEYS', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The AC power port becomes loose over time."], "output": "[['AC power port', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['brightness', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['look', 'positive'], ['feature', 'positive'], ['charge', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the mouse buttons are hard to push."], "output": "[['mouse buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Was disappointed to find out that the model had been discontinued, apparently because of known motherboard problems."], "output": "[['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's software and speed enable it to do amazing things."], "output": "[['software', 'positive'], ['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Windows 7 Starter is terrific (no you can't change the background) but I don't need to, I use it just for school work."], "output": "[['Windows 7 Starter', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am overall very pleased with my toshiba satellite, I like the extra features, I love the windows 7 home premium."], "output": "[['extra features', 'positive'], ['windows 7 home premium', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is much faster than my desktop which is a Core2 Quad running at 2.83 GHz."], "output": "[['Core2 Quad', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Registration/1st use is easy."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["For some odd reasons the computer doesn't reconize the operation system."], "output": "[['operation system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-Computer crashed frequently and battery life decreased very quickly."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I would rather spend my money on a computer that costs more then a Toshiba that isn't good at all."], "output": "[['costs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I especially like the keyboard which has chiclet type keys."], "output": "[['keyboard', 'positive'], ['keys', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the features are great, the only thing it needs is better speakers."], "output": "[['features', 'positive'], ['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Typically, when I purchase a new laptop I always end up using an external mouse for convenience."], "output": "[['external mouse', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Moral of the story:-Do not buy anything from companies that do not respect their customers."], "output": "[['companies', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The design is awesome, quality is unprecedented."], "output": "[['design', 'positive'], ['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Was not happy with one of the programs on it."], "output": "[['one of the programs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Mac is not made for gaming."], "output": "[['gaming', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["And that probably explains why I've already had my SATA controller go bad within a year of buying it."], "output": "[['SATA controller', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Again I sent it back and they replaced the motherboard and some fan inside."], "output": "[['motherboard', 'neutral'], ['fan', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A key contributor that led me to Mac is the art aspect."], "output": "[['art aspect', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['performance specs', 'neutral'], ['features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Clear picture on it and everything."], "output": "[['picture', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This computer that I have has had issues with the keyboard where it lost half the keyboard functions."], "output": "[['keyboard', 'negative'], ['keyboard functions', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had purchased it from a major electronics store and took it to their service department to find out what the problem was."], "output": "[['service department', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The resolution on the screen is almost pure HD."], "output": "[['resolution on the screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I especially like the backlit keyboard."], "output": "[['backlit keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['representive at Microsoft', 'negative'], ['system', 'negative'], ['XP', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We researched and found the best price at MacConnection."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["(If you ever see the spinning beachball come up when you think it shouldn't, check the \"Activity Monitor\" app to see if the disk throughput has temporarily dropped to zero."], "output": "[['disk throughput', 'neutral'], ['spinning beachball', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Additional caveat: the base installation comes with some Toshiba-specific software that may or may not be to a user's liking."], "output": "[['base installation', 'negative'], ['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Apple team also assists you very nicely when choosing which computer is right for you :)"], "output": "[['Apple team', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Who couldn'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": "[['HD', 'positive'], ['graphics chip', 'positive'], ['components', 'positive'], ['DVD burner', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My power supply cord developed exposed wires within the first year of ownership, so it was covered by the Applecare warranty plan."], "output": "[['power supply cord', 'negative'], ['Applecare warranty plan', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Could not keep up with me and finally the hard drive went out."], "output": "[['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I will definitely be getting a new laptop if it has any more issues after the warranty expires and researching carefully when I do so I don't run accross a situation like this again!"], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Apple applications (ex.iPhoto) are fun, easy, and really cool to use (unlike the competition)!"], "output": "[['Apple applications', 'positive'], ['iPhoto', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["And if you have a iphone or ipod touch you can connect and download songs to it at high speed."], "output": "[['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life seems to be very good, and have had no issues with it."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also it is very good for college students who just need a reliable, easy to use computer."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I need graphic power to run my Adobe Creative apps efficiently."], "output": "[['graphic power', 'neutral'], ['Adobe Creative apps', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Besides the great look, it is a great machine."], "output": "[['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 This time the mouse pad and right click key wouldn't work!"], "output": "[['mouse pad', 'negative'], ['right click key', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I looked around and based off my price/features comparison from a brand I trusted I landed here."], "output": "[['price', 'neutral'], ['features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The powerpoint opened seamlessly in the apple and the mac hooked up to the projector so easily it was almost scary."], "output": "[['powerpoint', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The flaws are, this computer is not for computer gamers because of the OS X."], "output": "[['OS X', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have had no problems with it unlike some hardware defects on past models."], "output": "[['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The start menu is not the easiest thing to navigate due to the stacking."], "output": "[['start menu', 'negative'], ['navigate', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['mic jack', 'negative'], ['touch-pad', 'neutral'], ['touch-pad', 'negative'], ['headphones', 'negative'], ['mic', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even though the computer is larger they did not make the keyboard larger."], "output": "[['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The switchable graphic card is pretty sweet when you want gaming on the laptop."], "output": "[['switchable graphic card', 'positive'], ['gaming', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also kinda loud when the fan was running."], "output": "[['fan', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["However, the multi-touch gestures and large tracking area make having an external mouse unnecessary (unless you're gaming)."], "output": "[['multi-touch gestures', 'positive'], ['tracking area', 'positive'], ['external mouse', 'neutral'], ['gaming', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative'], ['Adobe Flash player', 'negative'], ['Internet Explore', 'negative'], ['Windows update', 'negative'], ['update', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 even though I had the receipt in front of me proving it still had 2 months left on the warranty."], "output": "[['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 editing', 'positive'], ['performance', 'negative'], ['mobile video editing', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I don't use my laptop in a way though that needs a long battery life so it's perfect for me."], "output": "[['battery life', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'v spent as much for shipping as I would to buy a new netbook -- of course a different brand."], "output": "[['shipping', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also liked the glass screen."], "output": "[['glass screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Sure it has the one touch keys but that was the best feature of the computer."], "output": "[['feature', 'conflict'], ['one touch keys', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["/ awesome cooling system/ much better grafics card (ATI 5870) / 8GB RAM/ LED backlit screen."], "output": "[['cooling system', 'positive'], ['grafics card', 'positive'], ['LED backlit screen', 'positive'], ['8GB RAM', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The first programm I switched on was a game for my children."], "output": "[['programm', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the keyboard."], "output": "[['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["One more tip, please purchase this model and get a 4GB stick of RAM to save you $10."], "output": "[['4GB stick of RAM', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing that isn't perfect about this netbook is the speakers, they are not loud at all but I expected that."], "output": "[['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was slow, locked up, and also had hardware replaced after only 2 months!"], "output": "[['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["but it has a major design flaw."], "output": "[['design', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["You know, using the computer should be fun, not aggrevation, especially when you are playing games or working with photos."], "output": "[['playing games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The touchpad is very intuitive, so much so that I never want to use buttons to click again!"], "output": "[['touchpad', 'positive'], ['buttons', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I connect a LaCie 2Big external drive via the firewire 800 interface, which is useful for Time Machine."], "output": "[['LaCie 2Big external drive', 'neutral'], ['firewire 800 interface', 'positive'], ['Time Machine', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought this laptop because of the performance to price ratio."], "output": "[['performance', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Memory is upgradable."], "output": "[['Memory', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["You may need to special order a bag."], "output": "[['bag', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Seems like maybe a bad shipment from Toshiba."], "output": "[['shipment', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 But I needed a laptop for school use."], "output": "[['school use', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict'], ['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 internet browser', 'negative'], ['firefox', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's super fast and a great value for the price!"], "output": "[['value', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The price and features more than met my needs."], "output": "[['price', 'positive'], ['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, macbooks come with much more features which are so cool!"], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["4) Laptop still did not work, blue screen within a week."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["So what am I supposed to do? The LG service center cannot provide me the \"service\" when it is called the \"service center\"."], "output": "[['LG service center', 'negative'], ['service center', 'negative'], ['service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Excellent LED monitor and well equipped."], "output": "[['LED monitor', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The minute you fire it up it's all good, very easy user interface."], "output": "[['user interface', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was said it's videocard."], "output": "[['videocard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Ease of use is just one of the benefits I love about my Mac."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 plug', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They also use two totally different operating systems."], "output": "[['operating systems', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 OS', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Comes with iMovie;"], "output": "[['iMovie', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This laptop meets every expectation and Windows 7 is great!"], "output": "[['Windows 7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, because of the size and consistancy of the laptop computer, some websites wouldn't even attempt to work on the computer because of browser problems."], "output": "[['size', 'negative'], ['consistancy', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Didn't work when shipped from Walmart.com but went into a store and exchanged for a working laptop (same make/model)."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The buttons you have to press a little harder than most."], "output": "[['buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They don t translate from a Mac, even on Word, resulting in a ton of run-on sentences."], "output": "[['Word', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['keyboard', 'negative'], ['button below the mouse pad', 'negative'], ['screen', 'negative'], ['paint', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the mouse on the pad, the left button always sticks."], "output": "[['mouse on the pad', 'neutral'], ['left button', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Of course, for a student, weight is always an issue."], "output": "[['weight', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Info: Windows failed to load because the kernal is missing, or corrupt."], "output": "[['Windows', 'negative'], ['kernal', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The brand of iTunes has just become ingrained in our lexicon now, but keep in mind that Apple started it all."], "output": "[['iTunes', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But the quality, in general was less than the worth of the cheap laptop."], "output": "[['quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is nice and the images comes very clear, the keyboard and the fit just feels right."], "output": "[['screen', 'positive'], ['keyboard', 'positive'], ['fit', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard is reasonable size."], "output": "[['Keyboard', 'positive'], ['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 i must keep it plugged in at all times because it will not keep a charge for longer than four minutes."], "output": "[['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Despite the claims of the Apple apologists (a vice of which I am recently myself reformed) the internals of Mac laptops are NO different from PCs' at this point."], "output": "[['internals', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["One drawback, I wish the keys were backlit."], "output": "[['keys', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The one thing I wish it had was a detailed hardcopy manuel."], "output": "[['hardcopy manuel', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is an over-sized, 18-inch laptop."], "output": "[['18-inch', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am first time Mac Buyer and am amazed at features and ease of use the Mac offers."], "output": "[['features', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['system', 'positive'], ['using the internet', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its fast, has High definition quality in the videos."], "output": "[['High definition quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The price was very good, and the product is top quality."], "output": "[['price', 'positive'], ['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing that can be updated is the video, other than that you're all set."], "output": "[['video', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 it web cam', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They break down just as often as PCs do, and the only reason they don'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 don't exist."], "output": "[['virus protection programs for a Mac', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Because he said that the hinge is under the motherboard and they have to dismantle the whole thing before it can be tightened."], "output": "[['hinge', 'negative'], ['motherboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It discharges too quickly."], "output": "[['discharges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['Office', 'negative'], ['Office programs', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If upgrade is possible to the full Windows 7, then I will truly be a very happy geek."], "output": "[['Windows 7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is loaded with programs that is of no good for the average user, that makes it run way to slow."], "output": "[['programs', 'negative'], ['run', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great laptop for school, easy to use for beginners in the household."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["As a computer science student in college, I find that the portability, longevity, and ease of use of this computer make me (shockingly) want to do homework more;"], "output": "[['portability', 'positive'], ['longevity', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 enclosure', 'positive'], ['edge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even with virus protection, it always turned off when updates were needed and installed."], "output": "[['virus protection', 'negative'], ['updates', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I guess he was the technical person."], "output": "[['technical person', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Easy to start up and does not overheat as much as other laptops."], "output": "[['start up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Charger seems large for this class of computer."], "output": "[['Charger', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict'], ['repair', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 After that the said it was under warranty."], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I still have that stupid bluetooth mouse to!"], "output": "[['bluetooth mouse', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["PC users use the Powerpoint program for slide-show presentation and Mac users utilize Keynote."], "output": "[['Keynote', 'neutral'], ['Powerpoint program', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["THE FIRST PROBLEM IS THAT THE KEYBOARD FUNCTION IS SIMPLY UNSATISFACTORY."], "output": "[['KEYBOARD FUNCTION', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is very large and crystal clear with amazing colors and resolution."], "output": "[['screen', 'positive'], ['colors', 'positive'], ['resolution', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I should have checked this before I installed my applications."], "output": "[['applications', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Fan noise: The fan made a constant hissing noise in the background."], "output": "[['Fan', 'negative'], ['fan', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the way the entire suite of software works together."], "output": "[['suite of software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Battery life could be better but overall for the price and Toshiba's reputation for laptops it's great!"], "output": "[['Battery life', 'negative'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have not had a problem with the applications quitting or freezing."], "output": "[['applications', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['beauty', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Once open, the leading edge is razor sharp."], "output": "[['leading edge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also like the acer arcade but these were reallythe only two things I liked about this laptop."], "output": "[['acer arcade', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Whenever I call Dell about an unrelated problem, they ask me if my laptop is running slowly and if I'd like to purchase more memory for $75."], "output": "[['memory', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Going to bring it to service today."], "output": "[['service', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Somehow the system clock got messed up after reboot."], "output": "[['system clock', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Still under warrenty so called Toshiba, no help at all."], "output": "[['warrenty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I needed a driver for my HP and they would not help me with out me paying over $50 for it."], "output": "[['driver', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love its solid build, light wt and excellent battery life (for now)."], "output": "[['build', 'positive'], ['wt', 'positive'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great laptop that offers many great features!"], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It doesnt work worth a damn."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["MY ONLY PROBLEM IS I CAN NOT REG. THE PRODUCT KEY."], "output": "[['PRODUCT KEY', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have been very pleased with the performance of this laptop."], "output": "[['performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would tell the technician I knew\u00a0exactly\u00a0what was wrong with it but they did not listen and I had to go through a bunch of junk to get them to tell me I needed to send the computer in."], "output": "[['technician', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Peformance is good for the price."], "output": "[['Peformance', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There are several programs for school or office use (Pages, Numbers, Keynote, etc.), music (Garageband), photo management (Photo Booth, iPhoto), video-editing or movie-making (iMovie), etc."], "output": "[['programs', 'neutral'], ['Garageband', 'neutral'], ['Photo Booth', 'neutral'], ['iPhoto', 'neutral'], ['iMovie', 'neutral'], ['video-editing', 'neutral'], ['movie-making', 'neutral'], ['photo management', 'neutral'], ['music', 'neutral'], ['Pages', 'neutral'], ['Numbers', 'neutral'], ['Keynote', 'neutral'], ['school or office use', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The overall build quality of the unit is excellent and she'd recommend it to anyone else looking for a netbook."], "output": "[['build quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It also does not have bluetooth."], "output": "[['bluetooth', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the screen brightness automatically adjusts."], "output": "[['screen brightness', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My first problem was with the pre-loaded Norton Firewall/Security program."], "output": "[['pre-loaded Norton Firewall/Security program', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer is currently in West Verginia doe to the method of shipping choosen by Toshiba."], "output": "[['shipping', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But the arm velcro is torn after one use."], "output": "[['arm velcro', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["True quality at a great price!"], "output": "[['quality', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Macbook arrived in a nice twin packing and sealed in the box, all the functions works great."], "output": "[['twin packing', 'positive'], ['functions', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only drawback for me is how dirty the screen gets, and rather quickly too."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["And having to deal with the company has been a even worse nightmare."], "output": "[['company', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is no cd drive on the computer, which defeats the purpose of keeping files on a cd."], "output": "[['cd drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["WHEN TYPING, LETTERS AND SPACES ARE FREQUENTLY OMITTED REQUIRING THE USER TO REDO MANY WORDS AND SENTENCES."], "output": "[['TYPING', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had of course bought a 3 year warranty, so I sent it in to be replaced and (almost 2 months later) the dv4 is what the sent me as a replacement."], "output": "[['3 year warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the i3 processor doesn't seem to run hot and the fan rarely turns on."], "output": "[['i3 processor', 'positive'], ['fan', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It had a seventeen inch screen which I wanted, but I didn't realize at the time it would be such a monster!"], "output": "[['seventeen inch screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has just enough RAM to run smoothly and enough memory to satisfy my needs."], "output": "[['RAM', 'positive'], ['memory', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["and plenty of storage with 250 gb(though I will upgrade this and the ram..)"], "output": "[['storage', 'positive'], ['ram', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am not much of a computer techie, so I can understand some of\u00a0the internal problems, though I do have trend micro as an antiviral program."], "output": "[['trend micro', 'neutral'], ['antiviral program', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Do yourself a favor and invest in a few external harddrives if you are planning on purchasing this laptop."], "output": "[['external harddrives', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, HDD secures inside using rails, and there is only one set on the main hard drive."], "output": "[['HDD', 'positive'], ['rails', 'neutral'], ['hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great Laptop for the price, works well with action pack games."], "output": "[['price', 'positive'], ['action pack games', 'neutral'], ['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only problems are the sound isnt very loud I have to wear headphones."], "output": "[['sound', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If what you need is a machine to do some surfing, email checking, word processing, and watching a movie or two, this is the machine you want."], "output": "[['word processing', 'neutral'], ['surfing', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is huge and coloful, but no LED backlighting."], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I will never go back to Windows!"], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It took several weeks just to get them to acknowledge that I owned the warranty."], "output": "[['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has a faster processor and more ram."], "output": "[['processor', 'positive'], ['ram', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Hmmm - that high failure rate sure isn't reflected in the retail price."], "output": "[['retail price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 grill', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Adjust the sensitivity since it's not that responsive to begin with."], "output": "[['sensitivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wish the volume could be louder and the mouse didnt break after only a month."], "output": "[['volume', 'negative'], ['mouse', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Mostly I love the drag and drop feature."], "output": "[['drag and drop feature', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["High price tag, however."], "output": "[['price tag', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Aspire wont even boot past the Acer screen with a Droid (I have tried both Motorola and HTC) plugged into the USB port."], "output": "[['Acer screen', 'negative'], ['USB port', 'negative'], ['boot', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The large screen also helps when you are working in design based programs like Adobe Creative Suite."], "output": "[['screen', 'positive'], ['design based programs', 'neutral'], ['Adobe Creative Suite', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It started out by randomly ceasing to charge when it was plugged in (mousing over the battery icon would read, for example, \"74%, plugged in, not charging\"), requiring me to unplug it and plug it back in several times to get it to charge."], "output": "[['charging', 'negative'], ['charge', 'negative'], ['charge', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The sheer power and flexibility makes the MacBook Pro a must have for any techie!"], "output": "[['power', 'positive'], ['flexibility', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The So called laptop Runs to Slow and I hate it!"], "output": "[['Runs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Was searching online for a power supply when I found this site."], "output": "[['power supply', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is a small red circle next to it with a x in the middle, and when I click on it it says: \" Consider replacing your battery\" and it does not hold full charge."], "output": "[['battery', 'neutral'], ['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["THEN, one month after the warranty expired, the replacement charger went."], "output": "[['warranty', 'neutral'], ['replacement charger', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Dell's customer disservice is an insult to it's customers who pay good money for shoddy products."], "output": "[[\"Dell's customer disservice\", 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 span', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The first one sent: Touchpad didn't work The second sent: USB didn't work The third sent: Touchpad didn't work The fourth sent: Hasn't arrived yet."], "output": "[['Touchpad', 'negative'], ['USB', 'negative'], ['Touchpad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery gets so HOT it is scary."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the solid machined aluminum frame, and the keyboard is the best of any laptop I've used."], "output": "[['machined aluminum frame', 'positive'], ['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Toshiba is aware of the issue but unless the extended warrenty is bought Toshiba will do nothing about it."], "output": "[['extended warrenty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 quality', 'negative'], ['performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am constantly trying to uninstall programs, clean cookies, and delete unused files."], "output": "[['programs', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The case is carved out of a single block of aluminum."], "output": "[['case', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Windows 7 Starter is, in my opinion, a great way to think about using your netbook: basics, basics, basics."], "output": "[['Windows 7 Starter', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["For those that care about noise this thing doesn't really make any;"], "output": "[['noise', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Everything about this computer is easy to use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Of course, I also have several great software packages that came for free including iWork, GarageBand, and iMovie."], "output": "[['software packages', 'positive'], ['iWork', 'positive'], ['GarageBand', 'positive'], ['iMovie', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to use, has great screen quality, and every so light weight."], "output": "[['screen quality', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace."], "output": "[['warrenty', 'neutral'], ['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great product, very easy to use and great graphics."], "output": "[['graphics', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["with the switch being at the top you need to memorize the key combination rather than just flicking a switch."], "output": "[['switch', 'negative'], ['switch', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I think the manual is somewhere on the hard drive, but I rather have a hard copy."], "output": "[['manual', 'neutral'], ['hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I upgraded it's RAM to 2GB, I am very happy with it."], "output": "[['RAM', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only bad part is the size/weight."], "output": "[['size', 'negative'], ['weight', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even so, I like playing online games, so it was wonderful that there is a feature where I can dualboot Windows."], "output": "[['feature', 'positive'], ['Windows', 'positive'], ['games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It had some kind of pre installed software update that completely shut the computer down when you clicked it."], "output": "[['pre installed software update', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I always have used a tower home PC and jumped to the laptop and have been very satisfied with its performance."], "output": "[['performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I liked the aluminum body."], "output": "[['aluminum body', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has good speed and plenty of hard drive space."], "output": "[['speed', 'positive'], ['hard drive space', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I never had this kind of quality issue with Dell (not to say Dell is that great), not with a brand new laptop."], "output": "[['quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["As well as having the plug in the computer come loose."], "output": "[['plug', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": [") I also purchased Applecare for $300, which is a three year extended warranty, since I ve never seen any laptop that lasted more than two."], "output": "[['Applecare', 'neutral'], ['extended warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to use, good quality and good price."], "output": "[['quality', 'positive'], ['price', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard is top notch."], "output": "[['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["When I am next to my router on my HP I get full service, on my Eee PC I get 3 bars."], "output": "[['full service', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am forever changed and will no longer buy a Windows based machine for personal use."], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Long story, but after many calls to various offices, I was told that no one can override the depot and that managers don't take phone calls or e/mails."], "output": "[['depot', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The DVD drive randomly pops open when it is in my backpack as well, which is annoying."], "output": "[['DVD drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the laptop preformed pretty well."], "output": "[['preformed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I even got my teenage son one, because of the features that it offers, like, iChat, Photobooth, garage band and more!"], "output": "[['features', 'positive'], ['iChat', 'positive'], ['Photobooth', 'positive'], ['garage band', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0I 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 drive', 'negative'], ['mother board', 'negative'], ['dvd drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's wonderful for computer gaming."], "output": "[['gaming', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard is great but primary and secondary control buttons could be more durable."], "output": "[['Keyboard', 'positive'], ['control buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The speed is incredible and I am more than satisfied."], "output": "[['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Ive had to call tech support many times."], "output": "[['tech support', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also did not like the loud noises it made or how the bottom of the computer would get really hot."], "output": "[['noises', 'negative'], ['bottom of the computer', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also consider the MS Office apps are all trial versions, hope you have your own copies."], "output": "[['MS Office apps', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is bright and clear, the operating system is solid and friendly to a novice."], "output": "[['screen', 'positive'], ['operating system', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The applications are also very easy to find and maneuver, much easier than any other computer I have ever owned."], "output": "[['applications', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But sadly the replacement froze-up while updating the BIOS again and shut down and would not turn back on."], "output": "[['BIOS', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['tech issues', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The extended warranty for the $4000 and up computers was the only one available for purchase on the drop drown menu."], "output": "[['extended warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Would like more trendy, high tech features."], "output": "[['features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['iphoto', 'positive'], ['imail', 'positive'], ['imovie', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great product by Apple with the new great looking design."], "output": "[['design', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["With what I do know how to do, the computer works beautiful."], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0Then 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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If a website ever freezes (which is rare), its really easy to force quit."], "output": "[['force quit', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was super easy to set up and Is really easy to get used to."], "output": "[['set up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The size is perfect and I do not recomend anything bigger except for any person who can exceed the limited space it gives you."], "output": "[['size', 'positive'], ['space', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['STORAGE LIFE', 'conflict'], ['SERVICE', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Right size and weight for portability."], "output": "[['size', 'positive'], ['weight', 'positive'], ['portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's applications are terrific, including the replacements for Microsoft office."], "output": "[['applications', 'positive'], ['Microsoft office', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Skype is just so dang cool with this machine too."], "output": "[['Skype', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery has never worked well."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Whenever tried to turn it on, it would restart as soon as the BIOS launched Windows (or Winblows, as I like ot call it)."], "output": "[['BIOS', 'negative'], ['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Suffice it to say, my MacBook Pro keeps me going with its long battery life and blazing speed."], "output": "[['battery life', 'positive'], ['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Being a PC user my whole life, it's taking a bit of time to adapt to the OS of a Mac but I'm finding my way around."], "output": "[['OS', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is also very lightweight, making transporting this computer very easy."], "output": "[['transporting', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Amazing Quality!"], "output": "[['Quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Everything I have tried has worked and I never have to carry the wall charger cause the battery is so awesome."], "output": "[['wall charger', 'neutral'], ['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['keyboard', 'neutral'], ['screen', 'positive'], ['island backlit keyboard', 'positive'], ['multi-touch mouse', 'positive'], ['mouse', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I dislike the weight and size, cubersome."], "output": "[['weight', 'negative'], ['size', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life is great."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0One 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', 'negative'], ['screen', 'negative'], ['power light', 'neutral'], ['hard drive light', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They offer the best warranty in the business, and don't 3rd party it out like Toshiba."], "output": "[['warranty', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Because we did not purchase the extended warranty in time, we are on the hook for the repair."], "output": "[['extended warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["As usual at customer service center, she asked me to hold for a moment while she went to the back-office and compare it with other same model netbooks and discussed it with her colleague (I could see them)."], "output": "[['customer service center', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['drivers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Yes, I thought the expese was a little much, but I now realize you get what you pay for."], "output": "[['expese', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I reinstalled windows through the recovery discs and everything seemed good again."], "output": "[['windows', 'positive'], ['recovery discs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Second HDD cover has walls inside that need to be broken if you what to install one."], "output": "[['HDD cover', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard is like no other laptop keyboard."], "output": "[['keyboard', 'neutral'], ['keyboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My real problem with it? The statement of 7 hour battery life is not just mere exaggeration -- it's a lie."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Runs fast and the regular layout keyboard is so much better."], "output": "[['regular layout keyboard', 'positive'], ['Runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only bad thing about it is they give you the worst batteries possible."], "output": "[['batteries', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I've owned this labtop for less then two months, already the mouse button has broke."], "output": "[['mouse button', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This laptop looks great on the surface: 17\" inch screen, good price-point, nice appearance, boots up quickly, runs fast etc."], "output": "[['17\" inch screen', 'positive'], ['price-point', 'positive'], ['appearance', 'positive'], ['boots up', 'positive'], ['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["however, I may have inadvertently thrown out one of the batteries with the shipping carton."], "output": "[['batteries', 'neutral'], ['shipping carton', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['microphone', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 life', 'conflict'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its fast and another thing I like is that it has three USB ports."], "output": "[['USB ports', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I made a photo book as a gift, on my computer, pushed \"Buy\" and it drew from my iTunes account and sent the book to my house, the book was of perfect quality-exactly how I had created it and looked better than I had even imagined."], "output": "[['iTunes', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Oh yea, has no numeric pad on the side."], "output": "[['numeric pad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['run', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Needs longer lasting battery, More than 1 to 2 Hrs."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["So, the hard disk capacity really doesn't matter to me."], "output": "[['hard disk capacity', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Theres also iDVD, a program dedicated to putting all your favorite media together- photos, recordings, video projects into one program so that you can create the perfect memoir for your parents, family, siblings, and any other person important in your life that there may be."], "output": "[['iDVD', 'positive'], ['program', 'positive'], ['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['features', 'positive'], ['lighted keyboard', 'positive'], ['mouse pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["STOPPED BOOTING UP less than a week after my one-year warranty was up."], "output": "[['BOOTING UP', 'negative'], ['one-year warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["For the same price, you get a lot more in the Asus.1920x1080 res."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['Specs', 'negative'], ['performs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Since I keyboard over 100 wpm, I look for a unit that has a comfortble keyboard (no keys sticking or lagging, strange configuration of \"extra key\", etc."], "output": "[['keyboard', 'positive'], ['keys', 'positive'], ['configuration of \"extra key\"', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["iPhotos is an excellent program for storing and organizing photos."], "output": "[['iPhotos', 'positive'], ['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 OS', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["When you call tech support you were routed to someone who was in another country and did not know what they were doing."], "output": "[['tech support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 I definitely suggest getting an extended warranty, you will probably need it!"], "output": "[['extended warranty', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The black model also has a very nice seamless appearance - one of the better looking notebooks I've seen."], "output": "[['appearance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to go from one keyboard to another."], "output": "[['keyboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I now realize that my $900 would have been better spent on a Windows laptop."], "output": "[['Windows', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["With awesome graphics and assuring security, it's perfect!"], "output": "[['graphics', 'positive'], ['security', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["In\u00a0November my computer messed up entirely and wouldn'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": "[['HD', 'negative'], ['drivers', 'negative'], ['Windows update', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The company sent me a whole new cord overnight and apologized."], "output": "[['cord', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have to keep turning it until it decides to lower and there is no mute."], "output": "[['mute', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["although its windows vista compared to windows xp sucks."], "output": "[['windows vista', 'negative'], ['windows xp', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The touchpad is extremely sensitive, which is the only drawback."], "output": "[['touchpad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The tech store I purchased this from sent it back,,,,,eventually I got a new or repaired machine approximately 3 weeks later."], "output": "[['tech store', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Worse, for the price I could get a *netbook* that outperforms this machine."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 software', 'negative'], ['software', 'positive'], ['picture', 'negative'], ['video', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['memory', 'positive'], ['hard drive', 'positive'], ['web cam', 'positive'], ['screen', 'positive'], ['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 7', 'positive'], ['VMWare program', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['wireless switch', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great OS, fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port."], "output": "[['OS', 'positive'], ['processor speed', 'positive'], ['thunderbolt port', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-Touchpad will take a bit of time to get used to."], "output": "[['Touchpad', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Windows XP SP2 caused many problems on the computer, so I had to remove it."], "output": "[['Windows XP SP2', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The i5 blows my desktop out of the water when it comes to rendering videos."], "output": "[['i5', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Apparently under the screen there are 2 little screws and when the screen gets moved back and forth, they come loose."], "output": "[['screen', 'neutral'], ['screen', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wanted to purchase the extended warranty and they refused, because they knew it was trouble."], "output": "[['extended warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The mousepad is a huge pain in the arse!"], "output": "[['mousepad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It had a cooling system malfunction after 10 minutes of general use, and would not move past this error."], "output": "[['cooling system', 'negative'], ['use', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's just as fast with one program open as it is with sixteen open."], "output": "[['program', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm really impressed with the quality and performance for the price of the computer."], "output": "[['quality', 'positive'], ['performance', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They went through asking me open up various components, taking battery out, hard disk apart, and after 2 hours on phone could not fix it."], "output": "[['battery', 'neutral'], ['hard disk', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0A MONTH LATER, we reinstall the OS (Vista)."], "output": "[['OS (Vista)', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Getting the Apple Care plan is a must."], "output": "[['Apple Care plan', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would like at least a 4 hr. battery life."], "output": "[['battery life', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0THE MOTHERBOARD IS DEAD !"], "output": "[['MOTHERBOARD', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Best thing is I can use existing 32 bit old programs."], "output": "[['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The built-in webcam is great for Skype and similar video-chat services."], "output": "[['built-in webcam', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Learning all of the keyboard shortcuts only took a few minutes to get used to as some of the shortcuts are the same on Windows machines."], "output": "[['keyboard shortcuts', 'positive'], ['shortcuts', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING!!!"], "output": "[['PORTABILITY', 'positive'], ['PROCESSING', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It made the computer much easier to use and navigate."], "output": "[['use', 'positive'], ['navigate', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The operating system and user interface is very intuitive, and the large multi-touch track pad is amazing."], "output": "[['operating system', 'positive'], ['user interface', 'positive'], ['multi-touch track pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The little battery that it did have would only last about an hour while just having it on the desktop."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The body is a bit cheaply made so it will be interesting to see how long it holds up."], "output": "[['body', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I edit and burn to DVD a lot of video, so I obviously could not live with a non-functioning drive."], "output": "[['drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Drivers updated ok but the BIOS update froze the system up and the computer shut down."], "output": "[['Drivers', 'positive'], ['BIOS update', 'negative'], ['system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Also, I have had alot of trouble with the shift key to go to other lines."], "output": "[['shift key', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The resolution is even higher then any other laptop on the market."], "output": "[['resolution', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Take your time and go through the tutorials patiently."], "output": "[['tutorials', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My ONLY issues are: 1) the screen/video resolution won't increase to a higher resolution then 1024 x 60."], "output": "[['screen/video resolution', 'negative'], ['resolution', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I paid for extra memory and the 17-inch screen, as well as the top of the line DVD and CD burners."], "output": "[['memory', 'neutral'], ['17-inch screen', 'neutral'], ['DVD', 'positive'], ['CD burners', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is bright and the keyboard is nice;"], "output": "[['screen', 'positive'], ['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Compared to similarly spec'd PCs, this machine is good value, well built and works easily right out of the box."], "output": "[['value', 'positive'], ['built', 'positive'], ['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 didn't even try to acknowledge my question."], "output": "[['rep', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Came fully loaded - good."], "output": "[['loaded', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have found it very easy to use, very imformative, 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', 'positive'], ['programs', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Bigger HD, better graphics card, and a bid HD."], "output": "[['HD', 'positive'], ['HD', 'positive'], ['graphics card', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I finally decided on this laptop because it was the right price for what I need it."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It gives me the power and speed that I need to run all the programs I use to edit."], "output": "[['power', 'positive'], ['speed', 'positive'], ['programs', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing is that the battery won't last more than 1/2 an hour."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 support', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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\" HD Monitor', 'positive'], ['screen', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They really do have the worlds very worst repair service."], "output": "[['repair service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["When I finally had everything running with all my software installed I plugged in my droid to recharge and the system crashed."], "output": "[['software', 'neutral'], ['system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even though it is much more expensive than many PC laptops, it is worth the price."], "output": "[['price', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['price', 'positive'], ['budget', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought a cordless mouse for it, but don't always take it out;"], "output": "[['cordless mouse', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 software', 'positive'], ['iPhoto', 'positive'], ['iMovie', 'positive'], ['iWeb', 'positive'], ['iTunes', 'positive'], ['GarageBand', 'positive'], ['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Temperatures on the outside were alright but i did not track in Core Processing Unit temperatures."], "output": "[['Temperatures', 'neutral'], ['Core Processing Unit temperatures', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is very well built."], "output": "[['built', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's fast and has excellent battery life."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But the screen size is not that bad for email and web browsing."], "output": "[['screen size', 'positive'], ['web browsing', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Mine came at $1,700 w/o a DVD burner (!)."], "output": "[['DVD burner', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But after using it a couple of weeks, the overall operation is poor."], "output": "[['operation', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The materials that came with the computer did not include the right # anywhere."], "output": "[['materials', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["So what if the laptops/mobile phones look chic and cool? The after sales support is terrible."], "output": "[['after sales support', 'negative'], ['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Summary: They played games with me for the warranty period."], "output": "[['warranty period', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was happy with My purchase of a Toshiba Satellite L305D-S5934 laptop until it came time to have it repaired under the Toshiba Warranty."], "output": "[['Toshiba Warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Sells for the same as a netbook without sacrificing size."], "output": "[['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Apparently well-built and gorgeous to look at, the i5 MacBook Pro is a winning combination of price and performance."], "output": "[['price', 'positive'], ['performance', 'positive'], ['built', 'positive'], ['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["When I called Toshiba, they would not do anything and even tried to charge me $35 for the phone call, even though they didn't offer any technical support."], "output": "[['technical support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I would recommend it just because of the internet speed probably because thats the only thing i really care about."], "output": "[['internet speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\"> iPhoto is probably the best program I have ever worked with: easy and convenient."], "output": "[['iPhoto', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Connecting to my wireless router via built-in wireless took no time at all."], "output": "[['built-in wireless', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'neutral'], ['memory stick', 'negative'], ['memory stick', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have only had PCs with Windows before so this takes a little getting use to."], "output": "[['Windows', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["previous laptops were pc's, still have them, but the mac osx is a clean and smooth operating system."], "output": "[['mac osx', 'positive'], ['operating system', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I dislike the quality and the placement of the speakers."], "output": "[['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If you're looking for something to fly through those massive spreadsheets or play a graphics-intensive game, you'd be better off getting a machine aimed at that segment of the market."], "output": "[['game', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had read online that some users were having sound problems."], "output": "[['sound', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Everything about the Mac is not only visually appealing, but very easy to use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wasn't a big fan of the Netbooks but this one was very well designed."], "output": "[['designed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["iLife is easily compatible with Microsoft Office so you can send and receive files from a PC."], "output": "[['iLife', 'positive'], ['Microsoft Office', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Awesome graphics!"], "output": "[['graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 life', 'positive'], ['battery life', 'positive'], ['gaming', 'neutral'], ['movie playing', 'neutral'], ['web browsing', 'neutral'], ['word editing', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We paid for the three year warranty and the extended warranty after that one ended as well."], "output": "[['three year warranty', 'neutral'], ['extended warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The internet speed is spectacular."], "output": "[['internet speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The feature are good enough for what I need."], "output": "[['feature', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was ready to take it back for a refund, but the Geek Squad camed through and pointed me in the right direction to get it fixed."], "output": "[['Geek Squad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also like that you can scroll down in a window using two fingers on the trackpad."], "output": "[['trackpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Very long-life battery (up to 10-11 hours depending on how you configure power level settings)."], "output": "[['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I like how the Mac OS is so simple and easy to use."], "output": "[['Mac OS', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They claim call center is still down."], "output": "[['call center', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm already hooked on the sleek look and dependability that this laptop has shown."], "output": "[['look', 'positive'], ['dependability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the easy to see screen, and It works well for work, persoal or just play."], "output": "[['screen', 'positive'], ['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Although i do believe that Windows operating system may be to fault for some of the problems."], "output": "[['Windows operating system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only problem is a lack of screen resolutions!"], "output": "[['screen resolutions', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is well worth the money it cost, Very good investment."], "output": "[['cost', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 This process continued to repeat itself until the mother board had been replaced 4 times and the hard drive replaced 3 times."], "output": "[['mother board', 'negative'], ['hard drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Summary: HP knew they were shipping out bad BIOS and did nothing proactive to resolve it."], "output": "[['BIOS', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 7 system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict'], ['Windows', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Graphics are clean and sharp, internet interfaces are seamless."], "output": "[['Graphics', 'positive'], ['internet interfaces', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["PC users work in Word, while Mac users work in Pages."], "output": "[['Word', 'neutral'], ['Pages', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["3 weeks went by and the computer keeps crashing and will not open any applications."], "output": "[['applications', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The tech guy then said the service center does not do 1-to-1 exchange and I have to direct my concern to the \"sales\" team, which is the retail shop which I bought my netbook from."], "output": "[['service center', 'negative'], ['\"sales\" team', 'negative'], ['tech guy', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They should have included more memory on their computers if they knew Vista would run slowly."], "output": "[['memory', 'negative'], ['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But, for the cost this is a winner."], "output": "[['cost', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Microsoft seems to be unable to keep up with repairs for the multitude of windows problems."], "output": "[['windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Web access through the 3G network is so slow, it's very frustrating and VERY DISAPPOINTING."], "output": "[['3G network', 'negative'], ['Web access', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was originally concerned that I couldn'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', 'positive'], ['iLife', 'positive'], ['iWork', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They sent it back with a huge crack in it and it still didn't work."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now,,,,,my monitor has been acting up for about 2 months."], "output": "[['monitor', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['functionality', 'positive'], ['value', 'positive'], ['simplicity', 'positive'], ['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Mac also has many apps and programs that are quite cheap or free."], "output": "[['apps', 'positive'], ['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['Drivers/Applications DVD', 'neutral'], ['Launch Manager', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Acer was no help and Garmin could not determine the problem(after spending about 2 hours with me), so I returned it and purchased a Toshiba R700 that seems even nicer and I was able to load all of my software with no problem."], "output": "[['software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had to pay for the shipping!"], "output": "[['shipping', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 graphics card', 'positive'], ['Intel built-in card', 'positive'], ['games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['functioning', 'neutral'], ['programs', 'neutral'], ['Office', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Mac version of Microsoft Office is cheaper than buying the actual and works just as well."], "output": "[['Mac version of Microsoft Office', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["but now i have realized its a problem with this brand."], "output": "[['brand', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Fan vents to the side, so no cooling pad needed, great feature!"], "output": "[['Fan', 'positive'], ['cooling pad', 'neutral'], ['feature', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I noticed windows has a new system called Windows 7, what about us Vista users?\u00a0 They should get all the bugs out of Vista before investing in a new system."], "output": "[['Windows 7', 'neutral'], ['Vista', 'neutral'], ['Vista', 'negative'], ['windows', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But if you're willing to pay another 200 dollar for a windows disc."], "output": "[['windows disc', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Can't close the 2nd HDD bay since there are brackets you have to break off (even then, it still doesn't shut) That could be a major flaw for the dual HDD user."], "output": "[['HDD bay', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["lots of extra space but the keyboard is ridiculously small."], "output": "[['space', 'positive'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Another included program that is laughable is the chess game."], "output": "[['included program', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Speaking of the browser, it too has problems."], "output": "[['browser', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Size: I know 13 is small (especially for a desktop replacement) but with an external monitor, who cares."], "output": "[['Size', 'negative'], ['external monitor', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its white color is stylish for college students and easy to take to carry and take to classes."], "output": "[['color', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-Called headquarters again, they report that TFT panel is broken, should be fixed by the end of the week (week 3)."], "output": "[['TFT panel', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["He has replaced his hard drive twice and (of course) has had to pay for antivirus software every year."], "output": "[['hard drive', 'negative'], ['antivirus software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Nortons virus scan is only for a very short time unlike others that usually are good for a year."], "output": "[['Nortons virus scan', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is the first time that I tried and owning a netbook although I have used 3 different laptops in the past 10 years, I find not much difference except of course for the screen size."], "output": "[['screen size', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I believe that the quality of a mac is worth the price."], "output": "[['quality', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 memory', 'negative'], ['radeon 5850', 'negative'], ['DDR5', 'positive'], ['DDR3', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is not a serious gaming laptop or a serious media machine;"], "output": "[['gaming', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative'], ['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer will constantly be getting hot and burning your leg unless you go through the hassle of taking off the entire back of it just to clean out the fan."], "output": "[['fan', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Everything is so easy to use, Mac software is just so much simpler than Microsoft software."], "output": "[['Mac software', 'positive'], ['Microsoft software', 'negative'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My husband got me this for Chrismas after getting me a very expensve laptop that did not work after 2 days."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 since then\u00a0i have had minor problems with slow operation."], "output": "[['operation', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 Cut Pro', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A cheaper price should not equal a \"cheap\" product."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["One suggestion I do have, is to not bother getting Microsoft office for the mac expecting it will work just like you knew it to on a PC."], "output": "[['Microsoft office for the mac', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["2.The wireless card is low quality."], "output": "[['wireless card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Delivery was early too."], "output": "[['Delivery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["You can do it all on this bad boy but the main thing this netbook was desinged for was surfing the web and boy o boy does it ever."], "output": "[['surfing the web', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The display is awesome."], "output": "[['display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought a Logitech desktop set in anticipation for using with the MBP, but I use the touchpad 90% of the time."], "output": "[['touchpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It works fine with our wireless and they've had not problems."], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": [") And printing from either word processor is an adventure."], "output": "[['word processor', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['internet', 'neutral'], ['gaming', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This computer is exceptionally thin for it's screen size and processing power."], "output": "[['screen size', 'positive'], ['processing power', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The difference is the Toshiba had a lot more memory and hard drive space."], "output": "[['memory', 'positive'], ['hard drive space', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I know that ASUS is known for making motherboards, but this is the worst computer experience that I have ever had."], "output": "[['motherboards', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The price premium is a little much, but when you start looking at the features it is worth the added cash."], "output": "[['price premium', 'negative'], ['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["tons of bloatware and junk programs."], "output": "[['programs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 protection', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I regret buying it before understanding how awful it is to use."], "output": "[['use', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has easy to use features and all the speed and power I could ask for."], "output": "[['features', 'positive'], ['speed', 'positive'], ['power', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the programs are esay to use and are quick to process this computer works like a charm."], "output": "[['programs', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 disc', 'negative'], ['windows', 'negative'], ['drivers', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The paint wears off easily due to the keyboard being farther back than usual."], "output": "[['paint', 'negative'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I take it everywhere with me because it's so easy to carry."], "output": "[['carry', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Windows Vista makes this computer almost unusable for online service."], "output": "[['Windows Vista', 'negative'], ['online service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This laptop is a great price and has a sleek look."], "output": "[['price', 'positive'], ['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["very convenient when you travel and the battery life is excellent."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 wasn't running right, and now my CD drive wasn't reading anything!"], "output": "[['CD drive', 'negative'], ['running', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was not clear that the Microsoft Student Edition that was loaded on the computer, was a six month trial."], "output": "[['Microsoft Student Edition', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life, before the battery completely died of course, left much to be desired."], "output": "[['battery life', 'negative'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 center', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The laptop was very easy to set up."], "output": "[['set up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Although the price is higher then Dell laptops, the Macbooks are worth the dough."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen resolution was exactly what I was looking for."], "output": "[['screen resolution', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wasn'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', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["they had to replace the motherboard in April."], "output": "[['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["*=Webcam is a bit laggy, not the greatest."], "output": "[['Webcam', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["EITHER WAY, THE KEYBOARD IS UNSATISFACTORY."], "output": "[['KEYBOARD', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Took several hours with customer support before I could even start the PC out of the box."], "output": "[['customer support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is a nicely sized laptop with lots of processing power and long battery life."], "output": "[['processing power', 'positive'], ['battery life', 'positive'], ['sized', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer continued to give me issues and in Late June it completely died again and I tried to call Acer again to get it fixed and they refused to help me, they said my warrenty was up and hung up on me."], "output": "[['warrenty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['speed', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Every driver on the drivers/applications DVD is everything you will need for a reload."], "output": "[['driver', 'positive'], ['drivers/applications DVD', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's so bad that I'm thinking I only got half a battery or something."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is fast booting up , shutting down, and connection with the internet."], "output": "[['connection with the internet', 'positive'], ['booting up', 'positive'], ['shutting down', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['motherboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Again, decent comp for the price, and I was in need of one quickly as my other laptop died on me."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["and they replaced the awesome ergonomic small lightweight power supply with a power supply that weighed more than the machine itself."], "output": "[['power supply', 'positive'], ['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Microsoft word was not on it andI had to buy it seperately."], "output": "[['Microsoft word', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["You can even run a parallels type program easily and run any leftover PC software that you absolutely cannot be without."], "output": "[['parallels type program', 'positive'], ['software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was secure and easy to navigate."], "output": "[['navigate', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 It is easy to use, fast and has great graphics for the money."], "output": "[['graphics', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Really like the textured surface which shows no fingerprints."], "output": "[['surface', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Well, I have to say since I bought my Mac, I won't ever go back to any Windows."], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Is this partially due to the fact that it is running Windows Vista?"], "output": "[['Windows Vista', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is always reliable, never bugged and responds well."], "output": "[['responds', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The image is great, and the soud is excelent."], "output": "[['image', 'positive'], ['soud', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Sometimes you really have to tap the pad to get it to works."], "output": "[['pad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard feels good and I type just fine on it."], "output": "[['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["power supply went bad after 2 weeks ."], "output": "[['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard is great, very quiet for all the typing that I do."], "output": "[['Keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's color is even cool."], "output": "[['color', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["in May I started having problems with the USB ports not working."], "output": "[['USB ports', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Other than that, I would recommend this to someone in need of a cheap laptop with semi-decent gaming capabilities."], "output": "[['gaming', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The programs that come standard with the Leopard running system are enough for the average person to run all the basics."], "output": "[['programs', 'positive'], ['Leopard running system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The service tech said he had tried to duplicate the damage and wasn't able to recreate it therefore it had to be their defect."], "output": "[['service tech', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['OpenOffice', 'neutral'], ['Firefox', 'neutral'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life is probably an hour at best."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 Sonic Stage software', 'neutral'], ['speakers', 'positive'], ['subwoofer', 'positive'], ['extended life battery', 'neutral'], ['Docking port', 'neutral'], ['bluetooth mouse', 'neutral'], ['bluetooth enabled', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["2 months later, the battery went."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["If you really want a bang-up system and don't need to run Windows applications, go with an Apple;"], "output": "[['system', 'positive'], ['Windows applications', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["(The SATA controller is the motherboard chip that lets the CPU talk to the hard drive.)"], "output": "[['SATA controller', 'neutral'], ['motherboard chip', 'neutral'], ['CPU', 'neutral'], ['hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Unless you need the Bluetooth 3."], "output": "[['Bluetooth 3', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Yes, they cost more, but they more than make up for it in speed, construction quality, and longevity."], "output": "[['speed', 'positive'], ['construction quality', 'positive'], ['longevity', 'positive'], ['cost', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Only thing I would want to add to this is an internal bluray read/write drive."], "output": "[['bluray read/write drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was looking for a mac which is portable and has all the features that I was looking for."], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But you must get the 15 inch."], "output": "[['15 inch', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["They only stay charged a little over an hour."], "output": "[['charged', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['genius bar staff', 'negative'], ['fan', 'neutral'], ['boot up', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict'], ['word processer', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Comfterbale to use light easy to transport."], "output": "[['use', 'positive'], ['transport', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great pick for portability and affordability."], "output": "[['portability', 'positive'], ['affordability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Well I spilled something on it and they replaced it with this model, which gets hot and the battery doesn't make it through 1 DVD."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The software is amazing."], "output": "[['software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But the machine is awesome and iLife is great and I love Snow Leopard X."], "output": "[['iLife', 'positive'], ['Snow Leopard X', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I use the computer to basically check emails, surf the web, print coupons and for my college papers."], "output": "[['surf the web', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My main reason to convert was the imovie program."], "output": "[['imovie program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Laptops are usually used on the go, so why not give you a better battery?"], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now for the hardware problems."], "output": "[['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Needs Power and Mouse Cable to Plug in back instead of side, In the way of operating a mouse in small area."], "output": "[['Mouse Cable', 'negative'], ['mouse', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought a protector for my key pad and it works great :)"], "output": "[['protector', 'neutral'], ['key pad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["i also love having the extra calculator number set up on the keyboard which most laptops do not have."], "output": "[['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is everything I'd hoped it would be from a look and feel standpoint, but somehow a bit more sturdy."], "output": "[['look and feel standpoint', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Price and purpose is awesome!"], "output": "[['Price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The casing of the power cord fried and shocked my husband when he pulled it out of the socket."], "output": "[['casing of the power cord', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Did I mention everything about it, from size to weight to keyboard screams BULK?"], "output": "[['size', 'negative'], ['weight', 'negative'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen isn't huge, but that doesn't matter when I output media to the 50 inch LCD TV."], "output": "[['screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Love the graphics, awesome programs (including Garageband), and really cool default background."], "output": "[['graphics', 'positive'], ['programs', 'positive'], ['Garageband', 'positive'], ['default background', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Browsing, also, was no problem for me when I used itunes ( which usually slows down my PC )."], "output": "[['Browsing', 'positive'], ['itunes', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The pricing is very competitive."], "output": "[['pricing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Crisp screen, great battery life, and plenty of storage."], "output": "[['screen', 'positive'], ['battery life', 'positive'], ['storage', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This computer had exactly the specifications I needed."], "output": "[['specifications', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A mac is very easy to use and it simply makes sense."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The improvements to the OS have been relatively gradual, but substantive."], "output": "[['OS', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It bluescreened on me without any warning, running simply basic Chrome."], "output": "[['Chrome', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was heavy,bulky, and hard to carry because of the size."], "output": "[['size', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["With notes saying they replaced the hard drive."], "output": "[['hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life is amazingly long at 7hrs and 5hrs if you use it."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm having the laptop returned unrepaired since paying $176 every 3 months just isn't worth it (that's about how long the port seems to last)."], "output": "[['port', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I did not have to call the support line at all."], "output": "[['support line', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to navigate and update programs."], "output": "[['update programs', 'neutral'], ['navigate', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I know what 7 hrs of battery looks like."], "output": "[['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The laptop is relatively simple to use, though I bought Macs for Dummies, which is well worth $2."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was truly a great computer costing less than one thousand bucks before tax."], "output": "[['costing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I acually believe the issue is with the Nvidia grafics card, but still requires a return."], "output": "[['Nvidia grafics card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["HOW DOES THE POWER SUPPLY NOT WORK!!!"], "output": "[['POWER SUPPLY', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We use the built in tools often, iTunes is open nearly every day and works great with my iPhone."], "output": "[['built in tools', 'neutral'], ['iTunes', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I play a lot of casual games online, and the touchpad is very responsive."], "output": "[['touchpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also the speakers are not very loud, But it is a netbook."], "output": "[['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I mainly use it for email, internet, and managing personal files (pics, vids, etc.)."], "output": "[['internet', 'neutral'], ['managing personal files', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am ADDICTED to photo booth!"], "output": "[['photo booth', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen gets smeary and dusty very quickly and it's very noticeable."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I charge it at night and skip taking the cord with me because of the good battery life."], "output": "[['cord', 'neutral'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The laptop is outstanding in all aspects except that it has the Windows 7 starter and not the full Windows 7."], "output": "[['Windows 7 starter', 'negative'], ['Windows 7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Once I removed all the software the laptop loads in 15-20 seconds."], "output": "[['software', 'negative'], ['loads', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is VERY easy to type on and feels great - besides the added feature that the keyboard is lighted."], "output": "[['keyboard', 'positive'], ['feature', 'positive'], ['type', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The next time I had an issue my lightscribe wouldn't work."], "output": "[['lightscribe', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has no camera but, I can always buy and install one easy."], "output": "[['camera', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Most everything is fine with this machine: speed, capacity, build."], "output": "[['speed', 'positive'], ['capacity', 'positive'], ['build', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Despite the inconvenient weight, I opted for the 12 cell battery."], "output": "[['weight', 'conflict'], ['12 cell battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Obviously one of the most important features of any computer is the \"human interface."], "output": "[['features', 'neutral'], ['human interface', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 life', 'negative'], ['programs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Love that it doesn't take up space like a regular computer."], "output": "[['space', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Eventually my battery wouldn't charge, so unless I had it plugged in it wouldn't even power on."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Took me 11 hours, 3 trips to different FedEx offices, and brutal conversations with 14 of the worse IT support technicians in the world."], "output": "[['IT support technicians', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The cover for the DVD drive soon came off, too--a mark of poor construction quality."], "output": "[['cover for the DVD drive', 'negative'], ['construction quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The apple care has never failed me, and I expect it to be the same for this computer as well."], "output": "[['apple care', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This was the 3rd day and part still had not been shipped."], "output": "[['shipped', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the mouse pad and buttons are the worst i've ever seen."], "output": "[['mouse pad', 'negative'], ['buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Only issue is that it is a little slow, and I'm fixing that by adding more RAM."], "output": "[['RAM', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Programs would crash all the time, and it turned out to be a very unstable, unreliable laptop for me."], "output": "[['Programs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["COMPUTER HAS BEEN AT SERVICE FACILITY MORE THAN IN MY HANDS."], "output": "[['SERVICE FACILITY', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The machine is slow to boot up and occasionally crashes completely."], "output": "[['boot up', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have other computers that get strong signals that don't drop in places that this \"net\"book loses its signal."], "output": "[['signals', 'positive'], ['signal', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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": "[['programs', 'positive'], ['Keynote', 'neutral'], ['Pages', 'neutral'], ['Numbers', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had to call HP and ask for a recovery disk because the computer does not come with one and completely redo it all."], "output": "[['recovery disk', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It did fairly well, other than it's poor performance, overheating and occational blue screen."], "output": "[['performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["No tutorials on the display."], "output": "[['tutorials', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["keys are all in weird places and is way too large for the way it is designed."], "output": "[['keys', 'negative'], ['designed', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Speakers too small to be of any real use."], "output": "[['Speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I work in film editing and post production, so I need a laptop that not only has power, but memory and speed as well."], "output": "[['power', 'neutral'], ['memory', 'neutral'], ['speed', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I can have both OSX and Windows XP running at the same time!"], "output": "[['OSX', 'positive'], ['Windows XP', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["oh yeah, and if the fancy webcam breaks guess who you have to send it to to get it fixed?"], "output": "[['webcam', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Before, I reloaded with Windows 7 Ultimate and used only the downloaded drivers from Acer's site."], "output": "[['drivers', 'neutral'], ['Windows 7 Ultimate', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 4', 'neutral'], ['1 GB ram', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I find myself using the 10-key more than I thought I would."], "output": "[['10-key', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 There's literally no way to make it sing with Vista."], "output": "[['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The driver updates don't fix the issue, very frustrating."], "output": "[['driver updates', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["First, it does not have a push button to open the lid."], "output": "[['push button', 'negative'], ['lid', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I agree with the previous comment that ASUS TECH SUPPORT IS HORRIBLE WHICH IS A CON IN MY OPINION."], "output": "[['ASUS TECH SUPPORT', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The biggest problem is that the box had no instructions in it."], "output": "[['instructions', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Screen is awesome, battery life is good."], "output": "[['Screen', 'positive'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's not a wear-and-tear issue, not due to user carelessness and most importantly, they CAN'T guarantee the problem will be solved if it is sent for service and I have to accept the outcome."], "output": "[['service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'neutral'], ['Windows XP Professional', 'neutral'], ['Windows 7 Home Premium', 'neutral'], ['Windows Server Enterprise 2003', 'neutral'], ['Windows Server 2008 Enterprise', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The first fell apart right after the 1-year-warranty."], "output": "[['1-year-warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It seems they could have updated XP and done without creating Vista."], "output": "[['XP', 'positive'], ['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wouldn't play a first-person shooter with this, mind, but if you wanted to run MS Office, email, chat, download a video, listen to music from a certain fruit-named music store, and were looking for a highly portable yet powerful netbook to do that all in, I'd highly recommend checking this out."], "output": "[['MS Office', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["and looks very sexyy:D really the mac book pro is the best laptop specially for students in college if you are not caring about price."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing i can say is that the touch pad doesnt work like it should all the time."], "output": "[['touch pad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My husband uses it mostly for games, email and music."], "output": "[['games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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": "[['size', 'neutral'], ['software', 'neutral'], ['hardware', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After a little more than a year of owning my MacBook Pro, the monitor has completely died."], "output": "[['monitor', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND THE WARRANTY COMPANY IS HORRIBLE."], "output": "[['WARRANTY COMPANY', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I could save ten essay papers and have hardly any memory left."], "output": "[['memory', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It even has a great webcam, and Skype works very well."], "output": "[['webcam', 'positive'], ['Skype', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["wonderful features."], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar- cannot be beat."], "output": "[['use', 'positive'], ['service', 'positive'], ['phone assistance', 'positive'], ['genius bar', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["my niece and nephew have played a few web games and it runs anything that doesn't require a dedicated video card."], "output": "[['video card', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["-4 RAM slots, 2 HDD Bays*, 16GB RAM support -No Wireless Issues, at least for me."], "output": "[['RAM slots', 'neutral'], ['HDD Bays', 'neutral'], ['16GB RAM support', 'neutral'], ['Wireless', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The computer itself was fast, ran smoothly, and had no problems."], "output": "[['ran', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We carry the netbook around here and there, hence it's kinda of irritating when the LCD just \"slide\" downwards."], "output": "[['LCD', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["My Toshiba did not have sound on everything, just certain things."], "output": "[['sound', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 browsing', 'positive'], ['uploading photos', 'positive'], ['watching movies', 'positive'], ['creating presentations', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is absolutely horrible to use, despite all its so called advanced features."], "output": "[['features', 'negative'], ['use', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After replacing the hard drive the battery stopped working (3 months of use) which was frustrating."], "output": "[['hard drive', 'neutral'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is a review of windows vista system."], "output": "[['windows vista system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The brand is tarnished in my heart."], "output": "[['brand', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Boots up fast and runs great!"], "output": "[['Boots up', 'positive'], ['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["After talking it over with the very knowledgeable sales associate, I chose the MacBook Pro over the white MacBook."], "output": "[['sales associate', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love my Apple, it is quick and easy to use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Fully charged, the MacBook Pro can last about five hours unplugged."], "output": "[['charged', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I cannot be happier with the service or product."], "output": "[['service', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["the manufacturer's warranty only covers replacement/repair of parts."], "output": "[['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The best thing about this laptop is the price along with some of the newer features."], "output": "[['price', 'positive'], ['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict'], ['non-dedicated graphics card', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's so much easier to navigate through the operating system, to find files, and it runs a lot faster!"], "output": "[['operating system', 'positive'], ['runs', 'positive'], ['navigate', 'positive'], ['find files', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The trackpad was easy to learn and navigate."], "output": "[['trackpad', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Games being the main issue."], "output": "[['Games', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["But to be honest, I don't use my computer for anything like graphics editing and complex data analysis and gaming."], "output": "[['gaming', 'neutral'], ['graphics editing', 'neutral'], ['complex data analysis', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["A month or so ago, the freaking motherboard just died."], "output": "[['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["We upgraded the memory to four gigabytes in order to take advantage of the performace increase in speed."], "output": "[['memory', 'neutral'], ['speed', 'positive'], ['performace', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard is too slick."], "output": "[['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not even safe mode boots."], "output": "[['safe mode', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have had another Mac, but it got slow due to an older operating system."], "output": "[['operating system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I can barely use any usb devices because they will not stay connected properly."], "output": "[['usb devices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['OS', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The real stand out on this computer is the feel of the keyboard and it's speed."], "output": "[['keyboard', 'positive'], ['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["The technical service for dell is so 3rd world it might as well not even bother."], "output": "[['technical service for dell', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": [":-)If you buy this - don't go into it expecting 7 hrs of battery life, and you'll be perfectly satisfied."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'positive'], ['colors', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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 page viewer', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was sorly disapointed to discover that HP (what I thought was a reputable company) wouldn't honor the warrenty when the fan blade fell apart."], "output": "[['warrenty', 'negative'], ['fan blade', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "} +{"task_type": "generation", "dataset": "semeval-2014", "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', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"The first full charge of this battery got me only about 2 full hours.\" Output: [['battery', 'negative'], ['full charge', 'negative']] "}