{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is my second laptop,and it is head and shoulders above my first.", "It has easy to use features and all the speed and power I could ask for.", "True quality at a great price!"], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've always owned a PC and decided to try a MacBook to see what it's all about.", "I love it!", "I'm so glad I purchased a Mac and not another PC!!!", "They definitely have a superior product!"], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's A MAC!!", "I fine Apple MC373LL/A 2.66GHz 15\" Macboook Pro Notebook meets all my needs for a laptop computer when on the go.", "I like to use it at the race track to handiecap the horse races.", "It's face and depanable.", "As a graphic arts a retired instructor I still love to play with the graphic with photos and clip art .....", "it's just a great toy to have around."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Most everything is fine with this machine: speed, capacity, build.", "The only thing I don't understand is that the resolution of the screen isn't high enough for some pages, such as Yahoo!Mail.", "Yes, I have it on the highest available setting."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop quality', 'positive'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Not a bad laptop, it's a bit slow, but gets the job done.", "The lcd screen stopped working on mine after 10 months.", "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.", "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 even though I had the receipt in front of me proving it still had 2 months left on the warranty.", "even though I had the receipt in front of me proving it still had 2 months left on the warranty.", "Dealing with the support drone on the other end of the chat was sheer torture.", "English must have been his third or fourth language.", "His language was so bad I swore I was taking the turing test, and it was failing.", "after trying to get some help he disconnected on me.", "After that I turned to email in my next vain help to get them to acknowledge that the warranty was still valid.", "After 4 days, being denied 6 times and told off once, I managed to get through and was able to send them a scanned copy of the receipt.", "After that the said it was under warranty.", "Then they had me jump through many hoops and questions to see if they could find another way to invalidate me.", "After they found no other way, they told me to courier it to them(since they don't allow the use of the post office) at my expense, and sent me a 4 page list of very specific packaging instructions to follow or it wouldn't be covered.", "I managed to comply with these too and now have to wait and see if they can find another way to screw me.", "They really do have the worlds very worst repair service."], "output": "[['laptop general', 'negative'], ['laptop operation_performance', 'neutral'], ['display quality', 'negative'], ['display operation_performance', 'negative'], ['support miscellaneous', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is not my first Dell laptop.", "I've owned other models, as well.", "This one doesn't seem to be the same quality as ones I have purchased before.", "The plastic materials are rather cheap."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Meh...but cheap.", "I bought this so that I could sit on the couch and surf internet with a larger screen than iPad was offering.", "The reviews at the time in late July 2014 were mostly positive and it was the best selling laptop with almost 4 star review...", "The first thing I can say for positive is that the laptop is very light- makes it really portable..this with a relatively clear screen is a bonus.", "Now the graphics are not HD...and the reason that it is light is that it is really basic (medium low grade) plastic.", "So if you don't have kids, or not in high school or don't accidently sit on it, it should be fine.", "Now the speed is disappointing.", "Start up is fine maybe 20 secs at most, but then to get pages to load on internet is molasses at times.", "Even for a 4GB RAM it barely chugs with 3 tabs open.", "I tried all the Window updates (this worked for a couple of HP laptops I7in that I bought later at BB) to see if it could remove the drag, it did not.", "Really at this point I am trying to confirm if the RAM can be upgraded to see if I can do that to help.", "Couple that with lack of inbuilt Bluetooth, dvd drive you are looking at a close tie (or even a loss) compared with the other laptops on sale in mid to late August 2014.", "The HP laptops 17in (with i3 core and AMD) I mentioned before from the other big electronic BB store smoked this one even before I updated windows and upped the RAM.", "But alas they were gifts...and what is a gift if not given?", "All in all I wish I had waited a bit.", "But then again hindsight is 20/20.", "Bought a usb dvd rW drive but have not used it yet."], "output": "[['laptop price', 'positive'], ['laptop design_features', 'conflict'], ['laptop portability', 'positive'], ['display quality', 'positive'], ['graphics quality', 'negative'], ['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['memory design_features', 'neutral'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have so much trouble turning the computer on.", "It comes on for seconds then shuts itself off.", "My mistake was to not research this one, no DVD and no place to insert my ad card to download pictures.", "I was in a big hurry to buy a computer just to produce a newsletter for my job.", "I should have waited to find a higher quality computer."], "output": "[['laptop operation_performance', 'negative'], ['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["In the first moth of owning this computer its hardrive failed which had to be replaced.", "After replacing the hard drive the battery stopped working (3 months of use) which was frustrating.", "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.", "A tip for people looking into this computer: DO NOT BUY IT save up a bit more money and buy a computer that will last."], "output": "[['hard_disc quality', 'negative'], ['battery quality', 'negative'], ['battery operation_performance', 'negative'], ['power_supply quality', 'negative'], ['power_supply operation_performance', 'negative'], ['hardware quality', 'negative'], ['laptop general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Well, I have to say since I bought my Mac, I won't ever go back to any Windows.", "It's solid.", "Love the stability of the Mac software and operating system.", "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.", "It seems to be incompatible with everything else.", "But the machine is awesome and iLife is great and I love Snow Leopard X."], "output": "[['company general', 'positive'], ['laptop quality', 'positive'], ['software operation_performance', 'positive'], ['os operation_performance', 'positive'], ['software usability', 'negative'], ['software general', 'conflict'], ['software price', 'negative'], ['laptop general', 'positive'], ['os general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The glare of the glossy-retina display is unbearable.", "Do not buy a mac until this issue is resolved."], "output": "[['display quality', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["i would never go back any more, i love this computer so much and i would recommend it to everyone.", "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.", "With a mac you don't have to worry about antivirus software or firewall, it's so wonderful.", "this computer is a little more expensive than any pc but it will last you longer and it worth every penny.", "All apple associates are always wiling to help you out with anything, no matter when you purchased the computer and how many years passed.", "this computer will last you at least 7 years, thats an amazing life spanned an electronic.", "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": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['software general', 'positive'], ['laptop quality', 'positive'], ['laptop price', 'neutral'], ['support quality', 'positive'], ['laptop general', 'positive'], ['os usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I can't imagine EVER buying a PC again!", "I have had a Mac for 6 years and won't go back to PC.", "They don't crash.", "If a website ever freezes (which is rare), its really easy to force quit.", "Never been hacked.", "No viruses.", "I have had to call with a few questions or issues and they have helped me for free, even without the warranty.", "A mac is very easy to use and it simply makes sense.", "Its also FUN to use!", "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.", "My sister has the same Mac as me and she is in a band and uses GarageBand to record and edit.", "She said its very user friendly.", "I have had another Mac, but it got slow due to an older operating system.", "However, I love this particular Mac because its very fast, great size, and has fantastic features like the lighted keyboard and easy mouse pad.", "I am very happy I bought this Mac, well worth the extra money."], "output": "[['company general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['support quality', 'positive'], ['laptop usability', 'positive'], ['laptop general', 'positive'], ['software general', 'positive'], ['software design_features', 'positive'], ['software usability', 'positive'], ['laptop design_features', 'positive'], ['keyboard design_features', 'positive'], ['mouse usability', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is my 3rd Apple Laptop and first MacBook Pro.", "I love its solid build, light wt and excellent battery life (for now).", "Excellent LED monitor and well equipped.", "I love the Apple products."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive'], ['display design_features', 'positive'], ['company general', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Computer was DOA.", "Turned it on and it was beeping.", "Looked up the manual on another computer.", "The manual said that particular series of beeps indicated a video problem.", "Have the unit serviced.", "Lenovo sent me a box to return it to them.", "They claim they will have it back in six working days.", "We'll see.", "Once I get a working computer, I think I will like it.", "I've had Lenovo computers before."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["If your on a budget.... Save up longer.", "This laptop isn't worth a single cent.", "I couldn't even install linux on it.", "Windows runs very poorly.", "Just save your money and get something better."], "output": "[['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Plain and simple, it(laptop) runs great and loads fast.", "Easy to carry, can be taken anywhere, can be hooked up to printers,headsets.", "Love that it doesn't take up space like a regular computer."], "output": "[['laptop operation_performance', 'positive'], ['laptop portability', 'positive'], ['laptop connectivity', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I just bought this computer from the Apple Store, and I couldn't be more impressed with it.", "It has a stunning retina display, and is very fast.", "The solid-state memory makes it a lot faster than previous MacBook Pro models that used a spinning hard drive.", "This computer is good for anything, and it has really superseded my high expectations.", "Also, the sound quality from the speakers is crystal clear, and everything is just sleek and smooth.", "The HD display is sensational, and now watching any movie is a very enjoyable experience for me.", "No hardware issues, as is common with any Apple product.", "Great product, and couldn't be happier with it."], "output": "[['laptop general', 'positive'], ['display general', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop design_features', 'positive'], ['display quality', 'positive'], ['hardware general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["THis computer may be small but it is one heck of a power horse.", "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.", "for being so small it is amazing that it is as fast as it is.", "when i first got it i thought the size of it was a joke.", "but after i got used to it i love it.", "the size of has actually help me out quite a bit by me being able to fit it in an already full backpack and to use it at a resturant where the food on the table is always so space consuming.", "it has 3 usb ports, 1 sd memory card reader and an sd memory car expansion.", "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.", "overall i would recomend this to anybody and tell them that if they want to burn their music or play there video games to buy the cd drive."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I am a freelance graphic artist.", "I need graphic power to run my Adobe Creative apps efficiently.", "This machine delivers.", "It is much faster than my desktop which is a Core2 Quad running at 2.83 GHz.", "It is also extremely pleasing to the eyes without looking too much like an Alienware gaming machine.", "I personally like the gaming look but needed a machine that delivered gaming performance while still looking professional in front of my customers.", "It is a bit heavy.", "It would be a load on long trips where a lot of walking is required.", "If that is the case for you, I would suggest a pull-behind solution when looking at cases.", "Had some trouble finding a case that it would fit in.", "This is an over-sized, 18-inch laptop.", "Most of the large bags are for a 17 inch.", "You may need to special order a bag.", "It wouldn't fit in most 17-inch bags.", "I was disappointed when I realized that the keyboard doesn't light up on this model.", "It also does not have bluetooth.", "Pay attention to the specs if you want these options.", "You'll need to upgrade and pay a little more for them.", "I should have been more observant.", "I was looking too closely at the other performance specs and while comparing, I took it for granted that these features were standard.", "They are not.", "Overall, still a very nice machine.", "Boots up fast and runs great!", "I'm pleased."], "output": "[['laptop operation_performance', 'positive'], ['laptop design_features', 'conflict'], ['laptop portability', 'negative'], ['keyboard design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall good but processing power isn't very good.", "W7 Pro with W8 pro upgrade is nice, but it frequently freezes for a few seconds here and there.", "I replaced stock drive with WD Black 7K drive and is still quite slow.", "Battery doesn't last long web browsing (2.5 hours maybe)."], "output": "[['laptop general', 'positive'], ['cpu operation_performance', 'negative'], ['os general', 'positive'], ['os operation_performance', 'negative'], ['laptop operation_performance', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I just bought this laptop yesterday.", "This is how I feel about the laptop so far:", "1.Great display.", "Love the color accuracy.", "2.Very decent speakers.", "3.Fairly fast.", "4.Loud fan when watching 4K video off YouTube.", "Sounds like a washer.", "Machine gets fairly hot near the bottom of the screen.", "5.Best to use the power supply for 4K video viewing.", "Battery power laptop had difficulties computing.", "6.Still feels too heavy to me.", "Could lose another pound or two.", "7.Expensive.", "Paid close to $2800 out the door.", "There are too many things to test.", "Will update my review when I have time."], "output": "[['display general', 'positive'], ['display quality', 'positive'], ['multimedia_devices general', 'positive'], ['laptop operation_performance', 'conflict'], ['fans_cooling quality', 'negative'], ['laptop quality', 'negative'], ['laptop usability', 'negative'], ['laptop design_features', 'negative'], ['laptop price', 'negative'], ['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So far, a great product.", "High price tag, however.", "Still trying to learn how to use it."], "output": "[['laptop general', 'positive'], ['laptop price', 'negative'], ['laptop usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is going to be random and unorganized, but here are my thoughts on the laptop:So far so good after a month.", "It took some getting used to on the Widows 8.1, after being an XP user for many years.", "Everything seems to be running smoothly.", "Only downfall is the preloaded McAfee and other software.", "They are fine while the free subscription is going, but a pain when they start asking you to spend money every time you login.", "Device is light weight, quiet during operation and produces little to no heat.", "It has a quick start up and shut down time.", "The display is good quality.", "Just wish there were more USB ports."], "output": "[['laptop general', 'positive'], ['os usability', 'neutral'], ['laptop operation_performance', 'positive'], ['software general', 'conflict'], ['laptop design_features', 'conflict'], ['software miscellaneous', 'negative'], ['laptop quality', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've had my Lenovo for a little over a month now and it does everything i want it to do and more.", "i really have nothing negative to say about it.", "The keyboard is a little wonky with having to use the Function button to get the F-keys but with how infrequently i use those it is a non-issue.", "it is a great value for what you get.", "i can run somewhat modern games like Skyrim and Fallout New Vegas with no issues."], "output": "[['laptop general', 'positive'], ['keyboard design_features', 'negative'], ['keyboard usability', 'neutral'], ['laptop price', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this netbook for traveling, and it's great - light, functional, and meets my needs.", "The touchpad is extremely sensitive, which is the only drawback.", "Otherwise, I love it!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'positive'], ['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Right out of the box, this little netbook did everything I asked of it, including streaming the everyday video you're bound to encounter checking mail and websites (my biggest complaint previously).", "It even has a great webcam, and Skype works very well.", "The fact that you can spend over $100 on just a webcam underscores the value of this machine.", "The Windows 7 Starter is, in my opinion, a great way to think about using your netbook: basics, basics, basics.", "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.", "This netbook is a perfect supplementary computer to another laptop or desktop (my wife and I have another laptop), or if you are a user who uses the computer for simple tasks.", "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!).", "Finally, I should note that I took the 2GB RAM stick from my old EeePC and installed it before I even powered on for the first time.", "ASUS has done an outstanding job of evolving their netbooks, and I would recommend this to anyone who both understands their needs and how netbooks can fit them."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop design_features', 'positive'], ['multimedia_devices general', 'positive'], ['software operation_performance', 'positive'], ['os general', 'negative'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive'], ['laptop portability', 'positive'], ['battery operation_performance', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I was surprised with the performance and quality of this HP Laptop.", "the speed is fine.", "Laptop is to be used like a Netbook.", "But with A WAY Bigger Screen, and IS able to connect to an HDMI.", "Love it."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['display design_features', 'positive'], ['laptop connectivity', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The Notebook PC,Toshiba Qosmio is the best gift my father could have ever gotten me.", "He gave me this PC about 3 years ago and up to this point im still sitting here using it.", "Its still going.", "It is in the best condition and has a really high quality.", "This is something i would deffinately reccomend to someone.", "You will not regret buying such a great thing like this!", "It can't get any better."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer periodically crashes (Office, IPhoto, Safari).", "It takes a long time to get on the Web and to change Web Sites.", "Locks up she searching for updates.", "Just to be clear.", "I have been an Apple user since they switched to Intel.", "I have had Macbook PROs and Macbook Airs and have never had a problem.", "It seems that this computer might be a lemon.", "I purchased it through Amazon.", "I have had one complaint into the supplier but got little support.", "I am taking the computer to Apple to see what they think."], "output": "[['laptop operation_performance', 'negative'], ['software operation_performance', 'negative'], ['laptop connectivity', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We haven't used it enough or had it long enough to give it 5 stars, but so far it has been a very good laptop.", "Several other reviewers made comments on the keyboard and now I can understand why --- this keyboard is the nicest to use of any laptop we've ever owned.", "I'm a life-long desktop computer user, and the keyboard on this laptop is as close to a \"normal\" keyboard as I've ever seen.", "We like this new laptop -- a lot!"], "output": "[['laptop general', 'positive'], ['keyboard usability', 'positive'], ['keyboard general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Waited on getting this computer, but it has been a great change.", "Ease of use is just one of the benefits I love about my Mac."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice laptop.", "I use it for school, its quick and has everything I need on it.", "Good battery life as well."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Let me start with the good:So awesome.", "Great OS, fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port.", "This is my second MacBook.", "The first one I had was a 2006 model, not the Pro.", "I fell in love with it.", "This one has had the same effect.", "I had upgraded my old MacBook to Lion, so I kind of knew what I was getting, but hadn't been able to enjoy some of the awesome new multi-touch features.", "The improvements to the OS have been relatively gradual, but substantive.", "The feel of this machine compared to the old MacBook is far superior.", "The Unibody construction is solid, sleek and beautiful.", "It is everything I'd hoped it would be from a look and feel standpoint, but somehow a bit more sturdy.", "For the not so good, I got the stock screen - which is VERY glossy.", "It's still beautiful and has better color reproduction than I could ever expect from a notebook.", "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.", "My real problem with it?", "The statement of 7 hour battery life is not just mere exaggeration -- it's a lie.", "I challenge anyone to show proof that through anywhere near normal use can get more than 2.5 hrs out of it.", "The first full charge of this battery got me only about 2 full hours.", "Enabling the battery timer is useless.", "The \"Time remaining\" goes from 4 hours plus to less than 2 hours over the span of about 10 minutes.", "It's a joke.", "It's so bad that I'm thinking I only got half a battery or something.", "I know what 7 hrs of battery looks like.", "This ain't it.", "My only other complaint is that it gets really hot.:-)", "If you buy this - don't go into it expecting 7 hrs of battery life, and you'll be perfectly satisfied."], "output": "[['laptop general', 'positive'], ['os general', 'positive'], ['cpu operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'conflict'], ['display quality', 'conflict'], ['display design_features', 'positive'], ['display usability', 'neutral'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This netbook went bad on me after 3 days.", "There is a blank lighted screen when I start and that is all.", "I am also upset with CR for giving a good rating."], "output": "[['laptop quality', 'negative'], ['display operation_performance', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A good value for the money.", "Quite pleased with it.", "Fast enough for my purposes.", "No bloatware from third party parasites to uninstall.", "Excellent keyboard and crisp screen.", "Battery could be better but it has robust processor and plenty of RAM so that is a trade off I suppose.", "I'm glad to have it and it showed up in only a few days."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop operation_performance', 'positive'], ['software general', 'positive'], ['laptop design_features', 'positive'], ['keyboard general', 'positive'], ['display quality', 'positive'], ['battery operation_performance', 'negative'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Very good quality and well made.", "Great pick for portability and affordability.", "The black model also has a very nice seamless appearance - one of the better looking notebooks I've seen."], "output": "[['laptop quality', 'positive'], ['laptop portability', 'positive'], ['laptop price', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm already hooked on the sleek look and dependability that this laptop has shown.", "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.", "The unibody design is edgy and durable.", "The LED backlit display makes my pictures pop so much more.", "I'm learning the finger options for the mousepad that allow for quicker browsing of web pages.", "Granted, it's still a very new laptop but in comparison to my previous laptops and desktops, my Mac boots up noticeably quicker.", "A key contributor that led me to Mac is the art aspect.", "They have developed excellent proprietary software for editing video and pictures and I'm looking forward to utilizing these tools on the regular.", "I'm excited to learn more about what this powerful machine has to offer and encourage others to do the same.", "It's more expensive but well worth it in the long run."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['os usability', 'neutral'], ['display design_features', 'positive'], ['mouse design_features', 'positive'], ['laptop usability', 'positive'], ['software miscellaneous', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is the ideal college companion.", "It's software and speed enable it to do amazing things."], "output": "[['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['software general', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is absolutely perfect for web browsing, watching video, word processing, and that's about it.", "If you want a computer that plays games or any advanced tasks like editing video, this computer is NOT for you.", "Now when I say don't expect to play games on it, I mean it.", "Pretty much every major game save for Solitare won't even play on it due to the slower processor.", "Its also worth noting that there no bluetooth, no mircophone jack, no ethernet, no dvd/cd drive/burner, and no usb 3.0 ports.", "It DOES come with two usb 2.0 ports, a hdmi port, and a webcam.", "The webcam is nothing special, its there if you need it.", "Don't expect it to take good pictures or video.", "The battery is pretty soild.", "It lasts up to 5-6 hours with normal use.", "The computer itself runs very quiet and is mostly cool to the touch.", "The only major negative to me is Windows 8.1 (though YMMV) and the Dell crapware installed.", "I would strongly recommend to remove it and install Windows 7 on it with a usb drive.", "The performance will improve on it.", "Trust me."], "output": "[['laptop miscellaneous', 'conflict'], ['cpu operation_performance', 'negative'], ['laptop design_features', 'negative'], ['multimedia_devices general', 'neutral'], ['multimedia_devices quality', 'negative'], ['battery operation_performance', 'positive'], ['laptop quality', 'positive'], ['os general', 'negative'], ['software general', 'negative'], ['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I came here with my boyfriend for our anniversary because it was highly recommended to him by a friend.", "The decor is very simple but comfortable.", "The food was delicious but do not come here on a empty stomach.", "The portions are small but being that the food was so good makes up for that.", "You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert.", "The staff there is very attentive and down to earth.", "I loved it and would go again."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'negative'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Planet Thailand has always been a hit with me , I go there usually for the sushi, which is great , the thai food is excellent too .", "With the great variety on the menu , I eat here often and never get bored .", "The atmosphere isn't the greatest , but I suppose that's how they keep the prices down .", "It's all about the food !!"], "output": "[['food quality', 'positive'], ['restaurant general', 'positive'], ['food style_options', 'positive'], ['ambience general', 'neutral'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Right off the L in Brooklyn this is a nice cozy place with good pizza.", "Mine was a little burnt but still delicious with goat cheese and panchetta (raddichio was kind of bitter though).", "My friend got the mushroom pizza which tasted better.", "The sangria was pretty tasty and good on a hot muggy day.", "Kind of a small place but I guess if they are not too busy might be able to fit a group or kids.", "Overall I would recommend it and go back again.", "Coming from Boston this place is like Emma's Pizza in Kendall Square in Cambridge (although they have more funky toppings!)"], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['drinks quality', 'positive'], ['restaurant miscellaneous', 'neutral'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Went on a 3 day oyster binge, with Fish bringing up the closing, and I am so glad this was the place it O trip ended, because it was so great!", "Service was devine, oysters where a sensual as they come, and the price can't be beat!!!", "You can't go wrong here."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A restaurant that doesn't try to do anything except serve great food with great service in a pleasant atmosphere.", "No gimmicks here -- the food speaks for itself in its freshness and preparation.", "The dining room is quietly elegant with no music to shout over -- how refreshing!", "The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu, present your meal, and attend to your needs.", "Looking around, I saw a room full of New Yorkers enjoying a real meal in a real restaurant, not a clubhouse of the fabulous trying to be seen.", "Beautiful experience."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Terrible would be a compliment!", "The service leaves much to be desired, from feeling like you are rushed the place your order, to being ignored the rest of the night.", "We were 10 people celebrtating a birthday, we sat in the tent.", "We paid a fixed pricce but got nothing!!", "We never ate because by close to 2 in the monring we were not served and were too upset ad tired to start eating.", "They are extremely rude, not even apologizing for the horrible service we got and handing us a bill well over $500 for some drinks adn their pita bread!", "Stay away"], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['drinks prices', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Impressed...", "Subtle food and service", "Noodle pudding is exactly the type of service and food I enjoy.", "Servers are all different, Greg is my favorite.", "Sometimes tables don't understand his sense of humor but it's refreshing to have a server who has personality, professionalism, and respects the privacy of your dinner.", "This is the first place I've been that a runner remembers my order... hope he likes his job because I have half a mind to steal him for my restaurant.", "Prices are fair across the board for both food and bev.", "I go out to eat and like my courses, servers are patient and never rush courses or force another drink.", "Restaurants in manhattan should try to model food and service after this place."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['food prices', 'positive'], ['drinks prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Good creative rolls!", "Yamato is an excellent place to go if youre not into sashimi, or if you have friends who doesnt like sushi much.", "They have great rolls, the triple color and norwegetan rolls, are awesome and filling.", "One special roll and one regular roll is enough to fill you up, but save room for dessert!", "They have a delicious banana chocolate dessert, as well as a great green tea tempura.", "The appetizers are also delicious!"], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["On a recent Sunday afternoon, a friend and I accidently found this great restaurant on our way to see the pulitzer prize winning play DOUBT.", "This was the perfect quiet, relaxing, and delicious accompaniment to our afternoon of theater.", "The chicken pot pie is excpetiona, the cheeseburger huge and delictable, and the service professional wan warm.", "With so many poor experiences to be had in the theater district, is truly an excellent find!", "We will return many times for this oasis in mid-town."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We were seated outside and the waiter spilled red wine and hot tea on myself and my date.", "We were then shooed inside.", "One would think we'd get an apology or complimentary drinks - instead, we got a snobby waiter wouldn't even take our order for 15 minutes and gave us lip when we asked him to do so.", "We left, never to return.", "With so many good restaurants on the UWS, I don't need overpriced food, absurdly arrogant wait-staff who don't recognize they work at a glorified diner, clumsy service, and management that doesn't care."], "output": "[['service general', 'negative'], ['restaurant general', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Hurley's is like Cheers where everyone knows your name and they are ACTUALLY glad you came.", "Try the crunchy tuna, it is to die for.", "Try everything for that matter, it is all good.", "I have been going there since it opened and I can't get enough."], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went.", "I would highly recommand requesting a table by the window.", "Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat."], "output": "[['food quality', 'positive'], ['location general', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Planet Thai is great!", "We love the food, drinks, and atmosphere!", "The svc can be a bit rude at times, esp if you have big group, but overall the restaurant is a must!", "Try the Pad Thai, it's fabulous and their prices are so cheap!", "Just because it's cheap does NOT mean the portions are small or the food is nasty, IT IS GREAT!", "Just remember, the later you go, the longer you may have to wait.", "It's popular w/the late crowd."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['ambience general', 'positive'], ['service general', 'negative'], ['restaurant prices', 'positive'], ['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I live a block away and go to Patsy's frequently.", "The pizza is delicious - they use fresh mozzarella instead of the cheap, frozen, shredded cheese common to most pizzaria's.", "Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu.", "Also, because it is so thin, it gets cold very quickly and its not that filling.", "So eat fast and order a lot.", "Wait staff is blantently unappreciative of your business but its the best pie on the UWS!"], "output": "[['food quality', 'positive'], ['food style_options', 'negative'], ['service general', 'negative'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["i actually feel like i should keep it a secret.", "This is a wonderful place on all stand points especially value ofr money.", "An excellent service"], "output": "[['restaurant prices', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We have lived in Chelsea for two years and have never noticed this restaurant.", "The food is authentic Italian - delicious!", "Pizza is terrific, as is homemade pasta.", "Ambience is delightful, service impeccable."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice.", "Their calzones are horrific, bad, vomit-inducing, YUCK.", "They smell like they stuff them with old canned vegetables like the spinach mushroom calzone.", "The counter service is bad.", "They charge different prices all the time.", "They're rude at times, and not very friendly.", "NO PIZZA 33 for me!"], "output": "[['food style_options', 'positive'], ['food quality', 'conflict'], ['service general', 'negative'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love Ess-a-bagel, but I live on the west side, so I often go to Murray's for convenience.", "Their bagels are fine, but they are a little overcooked, and not really a 'special' bagel experience.", "Better than the bagel shop on the corner, but not worth going out of your way for, in my opinion.", "Also a little more expensive than your average bagel place."], "output": "[['food quality', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Seriously, this place kicks ass.", "The atmosphere is unheralded, the service impecible, and the food magnificant.", "Best Italian food I ever had (and being Italian, that means alot).", "It is nearly impossible to get a table, so if you ever have the chance to go here for dinner, DO NOT pass it up."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Good spreads, great beverage selections and bagels really tasty.", "THE BIG COMPLAINT: NO TOASTING AVAILABLE.", "I complete the total bagel experience by having it lightly toasted.", "Murray won't do it.", "Won't or Can't is not in the service directory.", "But who says Murray's is anything about service.", "So close, but not good enough."], "output": "[['food quality', 'positive'], ['drinks style_options', 'positive'], ['service general', 'negative'], ['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Loved it", "A coworker and I tried Pacifico after work a few Fridays and loved it.", "The atmosphere was great.", "The food we ordered was excellent, although I wouldn't say the margaritas were anything to write home about.", "Our waitress wasn't mean, but not especially warm or attentive either.", "I must say I am surprised by the bad reviews of the restaurant earlier in the year, though.", "Maybe it has improved since then?", "Regardless, we'll be back and can't wait to visit in the summer to take advantage of the patio."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'neutral'], ['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["its alright", "im not necessarily fanatical about this place, but it was a fun time for low pirces.", "lobster was good, nothing spectacular.", "its just a fun place to go, not a five star restaraunt."], "output": "[['restaurant general', 'neutral'], ['restaurant prices', 'positive'], ['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Everything about this restaurant was special.", "The service was attentive, yet discreet.", "The flavors robust and subtle.", "The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal.", "I'm saving up for my next visit."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Restaurant with a view", "Celebrated my fathers birthday here.", "The food tasted very good.", "The family seafood entree was very good.", "The main entree was also very good.", "We order a bit of everything on the menu.", "Price is high but the food is good, so I would come back again."], "output": "[['location general', 'neutral'], ['food quality', 'positive'], ['food prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Good Experience", "During our trip to NYC, we made reservations to dine in the pool room of the Four Seasons for their pre-theater menu (offering a modified menu for $65 pp).", "The wine list was extensive - though the staff did not seem knowledgeable about wine pairings.", "The bread we received was horrible - rock hard and cold - and the \"free\" appetizer of olives was disappointing.", "However, our main course was wonderful.", "I had fish and my husband had the filet - both of which exceeded our expectations.", "The dessert (we had a pear torte) was good - but, once again, the staff was unable to provide appropriate drink suggestions.", "When we inquired about ports - the waitress listed off several but did not know taste variations or cost.", "Not what I would expect for the price and prestige of this location.", "All in all, I would return - as it was a beautiful restaurant - but I hope the staff pays more attention to the little details in the future."], "output": "[['restaurant general', 'positive'], ['drinks style_options', 'positive'], ['service general', 'negative'], ['food quality', 'conflict'], ['restaurant prices', 'neutral'], ['restaurant miscellaneous', 'neutral'], ['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Indo Chinese food, pretty good...", "Not a very fancy place but very good Chinese style Indian food.", "The chicken lollipop is my favorite, most of the dishes (I have to agree with a previous reviewer) are quite oily and very spicy, espeically the Chilli Chicken.", "My mom originally introduced me to this place, but even she (being Indian) feels the food can be somewhat over the top spicy and far too oily.", "Still we keep going back :)"], "output": "[['food quality', 'conflict'], ['ambience general', 'neutral'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Just went here for my girlfriends 23rd bday.", "If you've ever been along the river in Weehawken you have an idea of the top of view the chart house has to offer.", "Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening.", "The lava cake dessert was incredible and I recommend it."], "output": "[['location general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I am reluctant to write because I would not want my jem of a pizza place to become overcrowded.", "However, it is jus too good to not praise it.", "By far, the best pizza in Manhattan.", "The crust is thin, the ingredients are fresh and the staff is friendly.", "For all you lazy folks that don't want to come to Alphabet City, I say, good - stay out.", "less wait time for me!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Great place, great value.", "The food is flavorful, plentiful and reasonably priced.", "The atmosphere is relaxed and casual.", "It's a great place to order from or sit-in."], "output": "[['restaurant general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["WORST PLACE ON SMITH STREET IN BROOKLYN", "Very immature bartender, didnt know how to make specific drinks, service was so slowwwww, the food was not fresh or warm, waitresses were busy flirting with men at the bar and werent very attentive to all the customers.", "I would never recommend this place to anybody even for a casual dinner."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["sometimes i get good food and ok service.", "sometimes i get bad food and bad service, sometimes i get good good and bad service.", "it is not consistent.", "really depends on your luck!"], "output": "[['food quality', 'conflict'], ['service general', 'negative'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Big Wong gets big Ups for a fine establishment.", "They have it all -- great price, food, and service.", "The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can.", "The food is prepared quickly and efficiently.", "And it all comes at a very reasonable price (congee, noodles, and rice dishes are no more than $3-6 each).", "The takeout is great too since they give high quality tupperware as well.", "This place is always very crowded and popular."], "output": "[['restaurant general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'negative'], ['food prices', 'positive'], ['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Bagels are ok, but be sure not to make any special requests!", "I asked for an open faced cheese sandwich and the manager basically told me to take my business elsewhere!", "Be sure not to get anything other than bagels!..", "the turkey burgers are scary!"], "output": "[['food quality', 'conflict'], ['service general', 'negative'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I can't believe people complain about no cheese sticks?", "Who has room for Cheesesticks with the best pizza in NYC!", "Get the pepperoni - YUM - and a family style salad.", "Great staff.", "Always great service!", "I go twice a month!", "Fantastic!"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Dell support was awful to deal with."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They had me send in the machine last April returned it to me in May with no documentation on what was done it anything."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Has a 5-6 hour battery life."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["One drawback, I wish the keys were backlit."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We don't Mind and You don't Matter."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Too often I would find it not being able to stay connected to the internet."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've had my MacBook Pro for three years now and still love it!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I am loving it completely."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["GENERAL, a quality laptop."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Very pleased so far."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this little one."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Maybe three or four months ago it started blinking all of the sudden."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've already recommended this laptop to a friend who eye'd the computer when I took it out of my bag."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Hate Windows 8.1!"], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary, reduces the screen size and increases the bulk."], "output": "[['display design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's priced very reasonable and works very well right out of the box."], "output": "[['laptop price', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Toshiba knows there is a manufacturing defect but will not acknowledge it."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love the size, keyboard, the functions."], "output": "[['laptop design_features', 'positive'], ['keyboard general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is quite impressive at multitasking, which really surprised me."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["i give this laptop a five star review i love it and it has done chams for me."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Good battery life as well."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Everything about this computer is easy to use."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Odd - unusual Dell Commands"], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I don't like WINDOWS 8 but that is no fault of the computer but the keyboard is so hard to get the keys to work and the space bar."], "output": "[['os general', 'negative'], ['keyboard usability', 'negative'], ['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Vista is a nightmare."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Its been a year and am still waiting to see what there going to do about my laptop."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have had Dell Desktops for years, so had no qualms about buying a Dell laptop."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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 quality', 'neutral'], ['display usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['os quality', 'negative'], ['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The internet speed is spectacular."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's light and easy to use, though."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I lost two items I was working on until I figured out what was happening."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It DOES come with two usb 2.0 ports, a hdmi port, and a webcam."], "output": "[['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The price is great and it does everything I want to do, Thanks."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It comes on for seconds then shuts itself off."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Screen size is perfect for portable use in any environment."], "output": "[['display design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Very disappointed!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I highly recommend this computer for students looking for a solid machine to get them through college."], "output": "[['laptop miscellaneous', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["another satisfied customer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Acer won't replace the laptop."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["i would really recommend to any person out there to get this laptop cause its really worth it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But the machine is awesome and iLife is great and I love Snow Leopard X."], "output": "[['laptop general', 'positive'], ['software general', 'positive'], ['os general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Outstanding laptop and very well built."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this computer!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing i can say is that the touch pad doesnt work like it should all the time."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Yeah, I wanted to throw that lap top out the window and light it on fire."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["My mistake was to not research this one, no DVD and no place to insert my ad card to download pictures."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["That was my first Apple product and since then I have been incredibly happy with every product of theirs I have bought."], "output": "[['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Sometimes the screen even goes black on this computer."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The big screen allows you to enjoy watching movies , pictures and etc!"], "output": "[['display design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['laptop quality', 'negative'], ['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I had to wait 3 weeks to get it back and it still is not working properly."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The laptop itself is very good, it could be better, but not bad at all for it's price point."], "output": "[['laptop general', 'neutral'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Comfterbale to use light easy to transport."], "output": "[['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is sleek and lightweight and charges quickly when needed."], "output": "[['laptop design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Not worth it one bit."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["MY ONLY PROBLEM IS I CAN NOT REG. THE PRODUCT KEY."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I could go on and on, but suffice it to say, if you want to spend $400+ on a laptop, don't buy this one!"], "output": "[['laptop general', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Externally the keys on my keyboard are falling off, after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit, and the screen has a terrible glare."], "output": "[['keyboard quality', 'negative'], ['mouse quality', 'negative'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Love the price too!"], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["More times that not the screen pops up saying I have a bad internet connection, or the page can't be displayed."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only drawback for me is how dirty the screen gets, and rather quickly too."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I especially appreciate the fact that it has almost zero viruses and spyware problems!"], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm an amature, so this does more than I can handle."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['os general', 'positive'], ['laptop usability', 'negative'], ['laptop design_features', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I will have to say that I love my MacBook Pro!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The Mid-2014 MacBook Pro does no disappoint..."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I took it to friend who temporarily fixed it and I finally paid about 1500 for the extended warranty."], "output": "[['warranty price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["the screen is big, and everything was as described"], "output": "[['display design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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 operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is very well built."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["To be honest i think it was faulty equipment or something but idk."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's face and depanable."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I would recommend it, for anybody needing a reliable simple laptop."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I hate to say this, but if I could take this back to the shop and get my money back, then I would."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["In my line of work, I often have to take work home, and this makes it so easy."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['motherboard quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only downfall is the battery only last 1.5-2.0 hrs when not plugged in."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I cannot be happier with the service or product."], "output": "[['support quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They sent it back with a huge crack in it and it still didn't work."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Just for simple web browsing and media streaming."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have spent more than 2.5 hours on the phone with them (over 4 different calls), only to get no where."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm so disappointed."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["iPhotos is an excellent program for storing and organizing photos."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Enjoy that Toshib force and durability unparalleled"], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["used 6 times black screen returned for refund"], "output": "[['display operation_performance', 'negative'], ['laptop general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The feature are good enough for what I need."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is perfect for her field."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It dosn't even have a disc compartment"], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Wonderful, super fast, lightweight computer"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's solid."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's exactly like the picture and I AM SATISFIED."], "output": "[['laptop miscellaneous', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Great OS, fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port."], "output": "[['os general', 'positive'], ['cpu operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Now 17 months later they want (would not say exact amount) $165.00 to $400 to fix the machine."], "output": "[['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I finally decided on this laptop because it was the right price for what I need it."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love the operating system and the preloaded software."], "output": "[['os general', 'positive'], ['software general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A cheaper price should not equal a \"cheap\" product."], "output": "[['laptop price', 'neutral'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Pretty much every major game save for Solitare won't even play on it due to the slower processor."], "output": "[['laptop miscellaneous', 'negative'], ['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall, still a very nice machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But other than that, I really am loving the quality and speed."], "output": "[['laptop quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't expect great graphics, though."], "output": "[['graphics general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["There is no number pad to the right of the keyboard which is a bummer."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Waited on getting this computer, but it has been a great change."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["the whole experiece is horrible so save up and buy a better laptop."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm warning you, You're wasting your money on this"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is amazing."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["2) Blue screen first month"], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I also love the design, the looks, the feel, and the my toshiba feature is wonderfull."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So far I do not have any trouble with it other than the picture quality is a bit poor."], "output": "[['laptop general', 'positive'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So i gave this 4 stars but only because of the poor picture quality, other than that it is a great buy!"], "output": "[['laptop general', 'positive'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Also, the battery does not last very long at all."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["this computer is very slow"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The 8.1 windows is a major disappointment."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The laptop died two days after I received it."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Windows 8.1 has its pros and cons."], "output": "[['os general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But, at the same time they (the company) would not and could not do anything about my problem."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I even got my teenage son one, because of the features that it offers, like, iChat, Photobooth, garage band and more!"], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I LOVE it!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["very poor quality lap top...."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall, a great laptop for simply doing basic things and web-browsing."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Yes, it's running and old type processor so, hey, don't even try gaming on it."], "output": "[['cpu design_features', 'neutral'], ['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['software usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop rocks (only wish it could run SolidWorks CAD - which Apple doesn't support)!"], "output": "[['laptop general', 'positive'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Not easy to carry."], "output": "[['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've had my Lenovo for a little over a month now and it does everything i want it to do and more."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["All in all, it's well worth its price tag."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'M REALLY FRUSTRATED BY THIS EXPERIENCE."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Will not buy another Toshiba, this is my second, not happy w/ either."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["i really have nothing negative to say about it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Needs constant repair."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a great laptop and I would recommend it to anyone."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The sound is great and it's fast."], "output": "[['multimedia_devices quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["In my house, HP is a nasty word."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have had it over a month now and it works just fine."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["slow processor, just not it"], "output": "[['cpu operation_performance', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Then HP sends it back to me with the hardware screwed up, not able to connect."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Average performance on almost every benchmark but priced accordingly."], "output": "[['laptop operation_performance', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Several other reviewers made comments on the keyboard and now I can understand why --- this keyboard is the nicest to use of any laptop we've ever owned."], "output": "[['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Love it so far."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It has served my needs quite nicely for the most part."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Keyboard is reasonable size."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["returned it."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Other than that its a great performing machine and well meets all my needs and more."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing is that the battery won't last more than 1/2 an hour."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["and its really cheap and you wont regret buying it."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Microsoft Office is a 30 day trial, a number of games and apps are already preloaded."], "output": "[['software miscellaneous', 'neutral'], ['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm learning the finger options for the mousepad that allow for quicker browsing of web pages."], "output": "[['mouse design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["One night I turned the freaking thing off after using it, the next day I turn it on, no GUI, screen all dark, power light steady, hard drive light steady and not flashing as it usually does."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is definitely a computer worth the money;"], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is the worst laptop ever"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The battery is pretty soild."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this computer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is going to be random and unorganized, but here are my thoughts on the laptop:So far so good after a month."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I managed to comply with these too and now have to wait and see if they can find another way to screw me."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It takes a long time to load any page."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a great home computer."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They said it was a computer error on this type of computer."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["One really nice thing about Lenovo laptops is that they are not cluttered with a bunch or trial software."], "output": "[['laptop design_features', 'positive'], ['software miscellaneous', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The touch pad takes a little getting used to as the \"click\" buttons are on top instead of the bottom."], "output": "[['mouse design_features', 'neutral'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This netbook is a perfect supplementary computer to another laptop or desktop (my wife and I have another laptop), or if you are a user who uses the computer for simple tasks."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Haven't quite figured out how to make the font size larger overall."], "output": "[['display usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["DO NOT RECOMMEND!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But the screen size is not that bad for email and web browsing."], "output": "[['display design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A little pricey but it is well, well worth it."], "output": "[['laptop price', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is easily portable and I take it everywhere I go and might require internet access."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["4) Laptop still did not work, blue screen within a week..."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['laptop design_features', 'neutral'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Looks good , well built, and very good speed."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is so simple to use, I use it more than my desktop."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The Windows 7 Starter is, in my opinion, a great way to think about using your netbook: basics, basics, basics."], "output": "[['os general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It lasts up to 5-6 hours with normal use."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["2.Very decent speakers."], "output": "[['multimedia_devices general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Just not for me."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It works fine for a PC in this price range."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'll rather be out of date then spend more money on toshiba."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I would highly recommend this computer it is FAST!!!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Love the color accuracy."], "output": "[['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So, you can imagine how unhappy I am with this item."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I went to Toshiba online help and found some suggestions to fix it."], "output": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So I called customer support (which is good too) and they went through it and it is just a safety feature and it does not affect performance at all, I just chose to hide the message."], "output": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Love the graphics, awesome programs (including Garageband), and really cool default background."], "output": "[['graphics general', 'positive'], ['laptop design_features', 'positive'], ['software general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But for the price its good."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It seems to be incompatible with everything else."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["After 20-30 min the screen of the notebook switched off."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["and plenty of storage with 250 gb(though I will upgrade this and the ram..)"], "output": "[['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Locks up she searching for updates."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["For those that care about noise this thing doesn't really make any;"], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I would highly recommend this one to my friends"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Fast, great visual!"], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I can not even read what I am writing half of the time."], "output": "[['display usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["When it come time for warranty service to Toshiba you don't matter."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We returned two days later."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The iLife software that comes with the computer is so simple to use and produces a great finished product."], "output": "[['software usability', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["My HP is very heavy."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Good for basic stuff."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's so bad that I'm thinking I only got half a battery or something."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Best thing is I can use existing 32 bit old programs."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Price makes this the laptop I was looking for."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It is everything that I would want in a computer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only major negative to me is Windows 8.1 (though YMMV) and the Dell crapware installed."], "output": "[['os general', 'negative'], ['software general', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["4.Loud fan when watching 4K video off YouTube."], "output": "[['fans_cooling quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've tried going back to XL but there still problems."], "output": "[['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "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": "[['software usability', 'positive'], ['software design_features', 'neutral'], ['software operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They smell like they stuff them with old canned vegetables like the spinach mushroom calzone."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["First of all, this place is *not* romantic, as claimed by Citysearch's editorial review."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["And where does Patis go wrong; no where. "], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I did not try the caviar but I tried their salmon and crab salad (they are all good) "], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The waiter delivered our food while holding what appeared to be a plastic bag of garbage in one hand."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We took advanatage of the half price sushi deal on saturday so it was well worth it."], "output": "[['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm saving up for my next visit."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm glad I was introduced to this place and this is a rare gem in NY."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was excellent as well as service, however, I left The Four Seasons very dissappointed."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I would highly recommend."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The wine list was extensive - though the staff did not seem knowledgeable about wine pairings."], "output": "[['drinks style_options', 'positive'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["and yes Dal Bukhara is so dam good and so are all the kababs."], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["By far, the best pizza in Manhattan."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Ambience is delightful, service impeccable."], "output": "[['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A word to the wise: you can't dine here and disturb the maitre-D's sense of \" table turnover\", as whacked as it is, or else."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We thought the dessert would be better, Wrong!"], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["LLOOVVE THIS PLACE."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The menu looked great, and the waiter was very nice, but when the food came, it was average."], "output": "[['food style_options', 'positive'], ['service general', 'positive'], ['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Regardless, we'll be back and can't wait to visit in the summer to take advantage of the patio."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["If you venture off the island of Manhattan and can't seem to find a great Italian restaurant, drive to Corona."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We won't go to this place again for a good meal."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Tasty Dog!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Much of the time it seems like they do not care about you."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I don't think I would go again."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Watch the talented belly dancers as you enjoy delicious baba ganoush that's more lemony than smoky."], "output": "[['food quality', 'positive'], ['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["An unpretentious spot in Park Slope, the sushi is consistently good, the service is pleasant, effective and unassuming."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We were charged full price."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Warning: You may find it difficult to dine at other Japanese restaurants after a visit to Mizu!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing you can do here is walk in and eat .. but planning an event, especially a small, intimate one, forget about it."], "output": "[['restaurant miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been to Casimir over 5 times and I have always had a great time there."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I completely recommend Casa La Femme for any special occasion and to REALLY impress your date."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The DJ is awesome, I have been there for my birthday and a bunch of other times with friends and I keep going back."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was very good, a great deal, and the place its self was great."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I will be out with friends and all of a sudden I am hungry and I only crave one thing... their Pizza."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I ordered the smoked salmon and roe appetizer and it was off flavor."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The lobster knuckles (special of the day) were ok, but pretty tasteless."], "output": "[['food style_options', 'neutral'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["If you want good authentic Thai this place is not the place to go."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["delicious bagels, especially when right out of the oven."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been doing all of the above at the Heartland Brewery for over 5 years now and I HAVE NEVER BEEN DISAPPOINTED!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Definitely worth the trip to Battery Park City!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But, they were too big for the bun."], "output": "[['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This place has ruined me for neighborhood sushi."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was good, the place was clean and affordable."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Yes, the prices are high, but I felt it was worth it."], "output": "[['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I wasn't thrilled to have to wait on line for thirty minutes, but I guess that's the price you pay for a popular place."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Cool atmosphere, the fire place in the back really ads to it but needs a bit more heat throughout on a cold night."], "output": "[['ambience general', 'positive'], ['ambience general', 'positive'], ['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Will absolutely visit again."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But that is highly forgivable."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["A gentleman, maybe the manager, came to our table, and without so much as a smile or greeting asked for our order."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was good too."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Indian food and the service is incredible."], "output": "[['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was delicious (I had a halibut special, my husband had steak), and the service was top-notch."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Go hungry and enjoy."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Will prob. not return but it is a great dinning experience to try atleast once."], "output": "[['restaurant general', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the perfect date spot for Williamsburg couples."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Mizu is the Japenese find in Grammercy."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Try it!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I highly recommend the fish tacos, everything else was ok."], "output": "[['food quality', 'positive'], ['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is one of the best comfort food places in the city."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We went around 9:30 on a Friday and it had died down a bit by then so the service was great!"], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I take all my NYC guests to VT's."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Lives up to the hype"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["As many other reviewers noticed, your order is often slow to arrive - this is particularly true in the evening but is not a problem during lunch time."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Too bad the food wasn't of the same heritage."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The veal and the mushrooms were cooked perfectly."], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["All the various Greek and Cypriot dishes are excellent, but the gyro is the reason to come--if you don't eat one your trip was wasted."], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They are extremely rude, not even apologizing for the horrible service we got and handing us a bill well over $500 for some drinks adn their pita bread!"], "output": "[['service general', 'negative'], ['drinks prices', 'negative'], ['food prices', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["If you are going for the food, it will not be worth it."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Me and my girls will definitely go back."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I LOVE their Thai"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["They even scoop it out nice (for those on a diet) not too much not to little."], "output": "[['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The waitress came to check in on us every few minutes, and began to clear the plates while half of us were still eating (a big pet peeve of mine that happens almost everywhere, so I try to ignore it)."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Ambiance- relaxed and stylish."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We thought that this place is using too much of MSG cooking in the foods."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Authentic Shanghai style and I cannot recommend a better Shanghai place in New York."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Also they were $15 each!"], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Although the tables may be closely situated, the candle-light, food-quality and service overcompensate."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the kind of place you'd like to take all your friends to and still keep a secret."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But they do."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening."], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I will definetly be going back."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Service was quick."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["And even more so unpleasant because it was so costly for such an unpleasant experience."], "output": "[['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Whether it's the parmesean porcini souffle or the lamb glazed with balsamic vinegar, you will surely be transported to Northern Italy with one bite."], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Either that, or the editor's idea of romance must be sharing a conversation with the next table, while trying to speak louder than the traffic on 57th."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["On that scale, it's a world-beater."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Everything was going good until we got our meals."], "output": "[['restaurant general', 'positive'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a wonderful place on all stand points especially value ofr money."], "output": "[['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Zero ambiance to boot."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was actually aweful."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So, if you're walking by and thinking about dining, you might want to see who's going to be seating you first..."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Truly the mark of an attentive waiter."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I was here a few weeks back and we had the worst customer service experience at a restaurant ever."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Once we finally got a table, despite indicating we wanted an alla carte menu we were pushed into a table that was only price fixed!"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The place was nice and calm."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Best drumsticks over rice and sour spicy soup in town!"], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall, which are great for a date."], "output": "[['ambience general', 'positive'], ['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Well, this place is so Ghetto its not even funny."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The wine the service was very good too."], "output": "[['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I am bringing my whole family back next time."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Food was good not great not worth the wait or another visit"], "output": "[['food quality', 'neutral'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Prices are in line."], "output": "[['restaurant prices', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The people that work there are always so friendly you forget you are in New York sometimes."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The atmosphere is nothing special, but it feels like a Sushi establishment in Tokyo."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The service is ok, some of the people didn't get what they asked for."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's a great place to order from or sit-in."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's boring on the inside, and our sushi was pretty below average... the tuna was soggy and the other rolls had no flavor."], "output": "[['ambience general', 'negative'], ['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The menu is fairly simple without much descriptions. "], "output": "[['food style_options', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The lamb was tender so full of flavor, the dessert was divine!!"], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Great food, amazing service, this place is a class act."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["THe back garden sitting area is very pleasant, where you can see their personal herb garden."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I've been there three times and have always had wonderful experiences."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Ask for Usha, the nicest bartender in manhattan."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring."], "output": "[['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I never write on these sites but this restaurant is def worth commending!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["So close, but not good enough."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The veal was incredible last night."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The lunch buffet is expensive but is deff worth it."], "output": "[['food prices', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice Family owned traditional restaurant."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have reservations about the all you can eat deal, however -- the choices are fairly limited and you can probably order more food than you can eat for less than $18 by just going off the menu."], "output": "[['food style_options', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["What we did do was waste 3 hours being trapped in a table waiting and waiting for food and drinks and hooka.. some of which we never received!"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Dessert is a joke...dont bother"], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was bland oily."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was authentic."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["MY husbands birthday and my sons was not as it was intended... and we drove two hours to spend too much money to be treated terribly!"], "output": "[['restaurant general', 'negative'], ['restaurant prices', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was the only thing good about this restaurant."], "output": "[['service general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["JUST AWSOME."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This place is great."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Atmosphere is nice and relaxed too..."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The hostess and the waitress were incredibly rude and did everything they could to rush us out."], "output": "[['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Great, original taste."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The space is limited so be prepared to wait up to 45 minutes - 1 hour, but be richly rewarded when you savor the delicious indo-chinese food."], "output": "[['restaurant miscellaneous', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But nonetheless--great spot, great food."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["But for the Shabu Shabu, you won't find much better in NY."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Fish was overdone."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Our food was great too!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We had a good time."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is tasty and portion sizes are appropriate."], "output": "[['food quality', 'positive'], ['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["If I could give 0 stars I would do so for this place."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food here was mediocre at best. "], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The appetizers are also delicious!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Service was devine, oysters where a sensual as they come, and the price can't be beat!!!"], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing!"], "output": "[['service general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The atmosphere is unheralded, the service impecible, and the food magnificant."], "output": "[['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Wonderful strawberry daiquiries as well!"], "output": "[['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I HAVE NEVER EVER HAD SUCH AN UNPLEASANT EXPERIENCE."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall the food quality was pretty good, though I hear the salmon is much better when it hasn't sat cooling in front of the guest."], "output": "[['food quality', 'positive'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I really loved the different and inovated touch that's the cheff gives to the food."], "output": "[['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was not fresh, the sauces were bland and very oily."], "output": "[['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["All in all, the food was great (except for the dessserts)."], "output": "[['food quality', 'positive'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The sangria was pretty tasty and good on a hot muggy day."], "output": "[['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was delicious but do not come here on a empty stomach."], "output": "[['food quality', 'positive'], ['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Look, the appetizers were really good."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice value."], "output": "[['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Not what I would expect for the price and prestige of this location."], "output": "[['service general', 'negative'], ['restaurant prices', 'neutral'], ['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews."], "output": "[['restaurant miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have never before eaten 40 pieces of relatively good nigiri."], "output": "[['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I highly recommend visiting this restaurant and having dinner and drinks!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The sushi is amazing!!! "], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Hats off to the chef."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["I have to say that I am pleasantly suprised and I will most likely stop in again if I am in the neighborhood."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["We've tried before but it always packed and doesn't take reservations."], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is authentic Italian - delicious!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The pasta penne was pretty extra buttery, creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count, penne...got a little moody afterwards cause was stuffed...lol"], "output": "[['food quality', 'negative'], ['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The staff was the friendliest that have seen in New York."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Wine list selection is good and wine-by-the-glass was generously filled to the top."], "output": "[['drinks style_options', 'positive'], ['drinks style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["It's very spicy but not offensive."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["The Four Seasons restaurant is a great experience."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["Personally I like the margherita pizza better, but they are all good."], "output": "[['food quality', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["This establishment is the real deal. "], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "} {"task_type": "generation", "dataset": "semeval-2016", "input": ["After dinner the manager grabbed my boyfriend, asked him: Where are you from...maybe you dont know how things work in America...and in the end stormed away almost teareyed yelling that tips are the only thing they survive on."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\" Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}