Generation/dev.jsonl

{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this eMachines Notebook PC in January of this year and I am highly\u00a0dissatisfied with it.", "The Internet Explorer was very slow from the very beginning.", "It freezes, and it always shows that there is an error, so I have to restart it a few times every time I use it.", "I tried to upgrade it to a newer version a couple of months ago and I still have the same problem.", "Well, I started using Google Chrome, which is a little better, but it freezes too sometimes.", "This Notebook restarts every time there is a new update, so if you don't save your files and information, everything will be lost.", "Another issue I have with it is the battery.", "Maybe three or four months ago it started blinking all of the sudden.", "There is a small red circle next to it with a x in the middle, and when I click on it it says: \" Consider replacing your battery\" and it does not hold full charge.", "It is not even a year old yet, so I would\u00a0definitely not recommend it to anyone.", "Don't waste your money!"], "output": "[['laptop general', 'negative'], ['software operation_performance', 'negative'], ['laptop operation_performance', 'negative'], ['battery operation_performance', 'negative'], ['battery quality', '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": ["My MacBook Pro has been a huge disappointment.", "From the build quality to the performance, everything about it has been sub-par from what I would have expected from Apple.", "The system constantly overheats, the battery life is too short, the case is coming apart, and my core applications that I use every day in my work as a graphic artist run poorly.", "I would not recommend this product to anyone."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['battery operation_performance', 'negative'], ['software 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 was happy with My purchase of a Toshiba Satellite L305D-S5934 laptop until it came time to have it repaired under the Toshiba Warranty.", "The computer was shipped to their repair depot\u00a0 on june 24 and returned on July 2 seems like a short turn around time except the computer was not repaired when it was returned.", "I called their repair depot as was told they would send Me a new box to return the computer to the repair depot.", "They were totally unconcerned that the computer was not correctly repaired in the first place.", "The computer is currently in West Verginia doe to the method of shipping choosen by Toshiba.", "The computer could have been shipped by Priority Mail through the USPS for the same cost and arrived by Noon on Tue.", "Instead it is sitting in West Verginia waiting for UPS to take two days to send Me a box and Two days for them to ship the computer some 691 miles by air? to Louisville Ky.", "By Air sounds more like by truck to Me.", "And Toshiba is totally unconcerned.", "The reaction of Toshiba is there is nothing you can do about it so just sit back and except the fact that you are powerless and it is mind over matter.", "We don't Mind and You don't Matter.", "I would not recommend the purchase of this modle of Toshiba Computer or any Toshiba product for that matter.", "When it come time for warranty service to Toshiba you don't matter."], "output": "[['support quality', 'negative'], ['shipping 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": ["This is the third MacBook Pro in our family.", "I bought my first MacBook after seeing the product demonstrated.", "Then 2 of my nephews were going into music and both fell in love with the MacBook Pro.", "Now they are believers in the product.", "It is easy to use, has great screen quality, and every so light weight.", "I own other Macs but always find myself navigation to the MacBook Pro to get my work done."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['display quality', '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": ["I thought the price was great for the specs.", "But after using it a couple of weeks, the overall operation is poor.", "I hate the display screen and I have done everything I could do the change it.", "The keyboard is too slick.", "I really don't like it, but I am stuck."], "output": "[['laptop price', 'negative'], ['laptop design_features', 'negative'], ['laptop operation_performance', 'negative'], ['display general', 'negative'], ['keyboard 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": ["I previously owned an HP desktop and a Dell laptop.", "Both computers started acting extremely slow within the first year of owning them.", "I have never had any issues or problems with my MacBook Pro so far, and it is still as fast as it was when I first bought it.", "I especially like the backlit keyboard.", "It makes doing schoolwork at night so much easier.", "It is also very lightweight, making transporting this computer very easy.", "The graphics on this computer are also stellar - very clear and vivid.", "The applications are also very easy to find and maneuver, much easier than any other computer I have ever owned.", "I use iphoto all the time, which is a great program for anyone who is into photography - amateurs and experts alike.", "The program came with the computer and works beautifully.", "I definitely will buy a Mac again if and when this computer ever fails."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['keyboard design_features', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['graphics quality', 'positive'], ['software general', 'positive'], ['software usability', 'positive'], ['software miscellaneous', 'positive'], ['software 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": ["This is the first time that I tried and owning a netbook although I have used 3 different laptops in the past 10 years, I find not much difference except of course for the screen size.", "But the screen size is not that bad for email and web browsing.", "I like this machine because its very lightweight...", "very convenient when you travel and the battery life is excellent...", "10 hours of battery life is really something else....", "I highly recommend that you buy this product."], "output": "[['display design_features', 'neutral'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive'], ['laptop portability', '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 new Macbook Pro 15 inch i7 is nothing short of amazing.", "The speed is incredible and I am more than satisfied.", "Yes, a Mac is much more money than the average laptop out there, but there is no comparison in style, speed and just cool factor."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', '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": ["It has far exceeded my expectations for power, storage, and abilitiy.", "It is easy to navigate and update programs.", "My kids have to take their PCs in once a year to have them \"de-bugged\".", "I've never had problems with viruses.", "My next laptop will also be a Mac!"], "output": "[['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop usability', 'positive'], ['laptop quality', '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": ["It rarely works and when it does it's incredibly slow.", "I have had to take it to the geek squad guys to get it fixed because it has had viruses 3 times and i have not even had it for more then 4 months!", "*IF YOU ARE LOOKING FOR A GOOD LAPTOP, THIS IS NOT IT!"], "output": "[['laptop quality', 'negative'], ['laptop 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": ["Not bad.", "Nice and light, seems to help your work instead of becoming work itself.", "Perfect size for me.", "Probably not a gaming machine, which I have zero interest in."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['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've owned this labtop for less then two months, already the mouse button has broke.", "Still under warrenty so called Toshiba, no help at all.", "I'm stuck w/ a broken computer.", "Will not buy another Toshiba, this is my second, not happy w/ either."], "output": "[['mouse quality', 'negative'], ['support quality', 'negative'], ['laptop 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": ["Just what I expected.", "I don't have any complains about 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": ["I purchased a Toshiba Satellite M60 (with harman/kardon speakers!) in December of 2005.", "It still serves me well both in business and home needs.", "It is, however, very heavy.", "I recently purchased the mini and absolutely love it!", "It meets all my needs for work and pleasure while traveling.", "I am totally satisfied with my little toshie!"], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', '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": ["I like the laptop overall.", "The only thing i can say is that the touch pad doesnt work like it should all the time.", "Sometimes you really have to tap the pad to get it to work"], "output": "[['laptop general', 'positive'], ['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": ["If it had a 4,5 star option, that is what I would give.", "The build is perfect, the screen fantastic, but I do have a bit of a problem with the fact that I have to buy adaptors for nearly everything, from vga cables to ethernet cables, so, almost perfect..."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['display general', 'positive'], ['laptop connectivity', 'negative'], ['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": ["My son and his family have a hard time financially because he is self-employed so the family had no computer of any kind, and kyle the oldest child is 12 and really need something to help him in school.", "so we got a good deal on hsn for an ascer notebook and we bought it for him.", "He loves it and it is easy to use and well the schools start teaching the kids early about computers so it was easy for him to get started.", "now he mows yards so he can earn the money for the wireless internet.", "I would recomend this acer to parents and grandparents it can really help them in school."], "output": "[['laptop general', 'positive'], ['laptop usability', '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": ["Like the price and operation.", "Some features arent friendly ( volume wheel, sound quality, etc.", "But, for the cost this is a winner."], "output": "[['laptop price', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'negative'], ['multimedia_devices usability', 'negative'], ['multimedia_devices quality', 'negative'], ['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": ["Extremely slow.", "A masterpiece of crap."], "output": "[['laptop operation_performance', '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": ["Me and my boyfriend bought the Gateway NV78 in nov of 09.", "Bought with a credit card.", "Probbly the worst decision we ever made!", "It has bein into the shop to get a new hardrive 2 times and to fix the touch control buttons on the keyboard!", "the place we bought it from said that after they send it out to gateway 4 times they would give us a new one.", "the last time we took it to get fixed the guy said that most likely it is a reppative problem and will keep happeneing so hopefully we can get a new one very soon!", "pretty much everything else about the computer is good it just stops working out of no were.", "i love the size of the computer since i play games on it.", "i also love having the extra calculator number set up on the keyboard which most laptops do not have.", "also the keyboard does not liht up so unless your sitting in a room with some light you cant see anything and thats bad for me because my boyfriend tends to watch tv in the dark at night which leaves me with no way of seeing the keyboard.", "So i would not reccomend anyone buying this computer"], "output": "[['laptop general', 'negative'], ['keyboard quality', 'negative'], ['hard_disc quality', 'negative'], ['laptop operation_performance', 'negative'], ['laptop design_features', 'positive'], ['keyboard design_features', 'conflict'], ['keyboard 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": ["As a lifelong Windows user, I was extremely pleased to make the change to Mac.", "As a computer science student in college, I find that the portability, longevity, and ease of use of this computer make me (shockingly) want to do homework more;", "without a big ol' clunky machine in my backpack, I feel like I can do programming homework anywhere.", "I highly recommend this computer for students looking for a solid machine to get them through college.", "A great feature is the spotlight search: one can search for documents by simply typing a keyword, rather than parsing tens of file folders for a document."], "output": "[['company general', 'positive'], ['laptop portability', 'positive'], ['laptop quality', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop miscellaneous', 'positive'], ['os 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 a HP Pavilion DV4-1222nr laptop and have had so many problems with the computer.", "The computer is so slow, even after paying staples the extra money to speed it up.", "They said it was a computer error on this type of computer.", "Also, I have alot of trouble with it getting very hot, and not even sitting on anything to make it hot.", "When the computer has been on for several minutes, it will occasionaly just go off by itself.", "Also, the battery does not last very long at all.", "I would recommend not buying this product.", "I have had no luck with staples or HP to resolve this problem.", "I am stuck with a laptop that I cannot do very much with.", "Also, I have had alot of trouble with the keys sticking and will not type correctly.", "Also, I have had alot of trouble with the shift key to go to other lines.", "It gets stuck all of the time you use it, and you have to keep tapping on it to get it to work.", "Sometimes the screen even goes black on this computer.", "Will probably never buy a HP again."], "output": "[['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop quality', 'negative'], ['battery operation_performance', 'negative'], ['support quality', 'negative'], ['keyboard operation_performance', 'negative'], ['keyboard usability', 'negative'], ['display operation_performance', '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": ["Great PC.", "The i7 is incredibly fast, the RAM makes it proper for several games (not on maximum quality).", "Great sound quality too."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['laptop miscellaneous', 'positive'], ['multimedia_devices 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 laptop is very lightweight, can easily carry around in a knapsack full of text books and it barely adds any weight.", "It is small enough to fit in one of my purses!", "Windows 7 Starter is terrific (no you can't change the background) but I don't need to, I use it just for school work.", "The battery life is amazing, the versitility is outstanding.", "The ease of set up was terrific.", "I was even able to uninstall McAffe and install one of my Symantec licenses with a no issues whatsoever.", "I had to adjust my mousepad sensitivity, because it is very sensitive.", "Keyboard is great, very quiet for all the typing that I do.", "Screen is crystal clear, yes it's small - but it's a netbook!"], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['os general', 'positive'], ['os usability', 'neutral'], ['battery operation_performance', 'positive'], ['laptop usability', 'positive'], ['mouse operation_performance', 'negative'], ['keyboard general', 'positive'], ['keyboard quality', 'positive'], ['display quality', 'positive'], ['display design_features', 'neutral'], ['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 laptop.", "Even my extremely tech savvy boyfriend was impressed with the features and sleek design.", "Although I've had it for less than a week, I am very satisfied."], "output": "[['laptop general', '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": ["I bought this laptop about a month ago to replace my compaq laptop.", "I paid about the same for my Toshiba as I did for the compaq a few years back.", "The difference is the Toshiba had a lot more memory and hard drive space.", "It's super fast and a great value for the price!", "I would definitely recommend checking out this laptop if you are in the market for one."], "output": "[['memory design_features', 'positive'], ['hard_disc design_features', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', '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": ["Had to return the computer.", "Keeps freezing"], "output": "[['laptop general', 'negative'], ['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": ["I AM IMPRESSED WITH THIS COMPUTER, INEXPENSIVE BUT QUALITY.", "LOVE THE SIZE, I AM USING THIS FOR WORK, I AM A NURSE AND HAVE TO CHART DAILY, THIS IS EASY TO USE AND I HAVE NOT HAD ANY PROBLEMS WITH IT."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'positive'], ['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": ["This is a great little computer for the price.", "Simple to use, and great graphics.", "It has everything I would need for a home computer.", "I'm very impressed."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop usability', 'positive'], ['graphics general', '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": ["The product is average and works well.", "Works at a decent speed.", "The mouse pad however is very loud which is why i gave it four stars."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['mouse 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": ["no complaints with their desktop, and maybe because it just sits on your desktop, and you don't carry it around, which could jar the hard drive, or the motherboard.", "Bought this gateway M-50 or 150 early 2007.", "A MONTH LATER, we reinstall the OS (Vista).", "A coupla months later, they change my hard drive.", "A month or so ago, the freaking motherboard just died.", "Went silently.", "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.", "THE MOTHERBOARD IS DEAD !", "And I'm still paying the bloody financing, for a product which didn't last me at least three years !"], "output": "[['os quality', 'negative'], ['hard_disc quality', 'negative'], ['motherboard quality', 'negative'], ['laptop 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": ["Not bad for the price.", "I needed an inexpensive laptop to do basic office work on that was lightweight and this fits the bill just fine.", "Performance wise, it's a bit slow, but that's to be expected from a Celeron-class processor.", "I'm also not a fan of Windows 8, but fortunately I can install whatever I want on the laptop without issue."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop design_features', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'negative'], ['cpu operation_performance', 'negative'], ['os general', 'negative'], ['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 was so excited to receive the Toshiba L455 as a gift/bonus for some work I had done for a friend of mine!", "I have owned it only two months!", "I have had nothing but problems since the day I took it out of the box!", "My first problem was with the pre-loaded Norton Firewall/Security program.", "It would not let me connect to my Wifi system where I lived.", "It took Toshiba tech support 4 calls and 4 different techs to correct the problem.", "Then just the other day, my left \"mouse\" button snapped!", "Being only 2 months old, I am not a happy camper!", "Buyer Beware.", "this one, in my opinion, might be a lemon!"], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['software general', 'negative'], ['laptop connectivity', 'negative'], ['support quality', 'negative'], ['mouse 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": ["Handles all my basic media needs easily.", "Can listen to my music and watch my videos with ease and with a great display.", "It is speedy when connected wirelessly to any network regardless if the connection is weak or not.", "It's a great prodcut to handle basic computing needs."], "output": "[['laptop miscellaneous', 'positive'], ['display general', 'positive'], ['laptop usability', 'positive'], ['laptop operation_performance', '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": ["Needs constant repair.", "First the screen goes completely out.", "Then HP sends it back to me with the hardware screwed up, not able to connect.", "Now the screen is going darker, darker, darker.", "HP is more interested in selling extended warranties (which cost more than the netbook new) then they are in helping or fixing.", "Oh yeah, don't forget the expensive shipping to and from HP.", "I'v spent as much for shipping as I would to buy a new netbook -- of course a different brand."], "output": "[['laptop quality', 'negative'], ['display operation_performance', 'negative'], ['support quality', 'negative'], ['warranty price', 'negative'], ['shipping price', 'negative'], ['company general', '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": ["I bought this laptop the moment unibody product came to the market.", "I also bought one for my wife, and 3 for my office.", "They are wonderful, but very dangerous when it comes to emitting heat.", "I burned my leg, after lifting it from my desk, and for less than 5 second putting it on my lap to clean my coffee table, so I can place it there.", "I had to call Apple 19 times (each time 40 to 75 minutes on the phone), and take it to their store for evaluations, and diagnostics, 5 times.", "This is what they told me: It heats up, and that is the reason we no longer call them laptops, and simply categorize them as portables.", "You might think, I am new in this game, but I am a gadget lover, and have had more than 2 dozens laptops in the past 15 years, and none gets this hot, that fast.", "I also experience the same with my MacBook Air.", "So you might ask, what did Apple do for me?", "For my burn thigh which has put a permanent mark on my skin (it happened 7 months ago) they offered me an ITouch 8Gig (you know it is a bit insulating when a company this rich, offer a loyal customer like me, a bottom of their product line as a gift for events like this).", "Steve Jobs, probably needs help and donations, and cannot afford a reasonable offers for people that truly are trying to support his baby.", "The lesson learned here is: It does not pay to by this loyal to any brand, since all of them are there to simply  to make as much money as possible, as fast as they can, and in this day and age, the customer no longer is right all the times.", "Sad very SAD."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['support quality', '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 machine is easy to use, has the power it needs for personal use and some light professional work.", "It could be lighter, but couldn't everything.", "The battery seems adequate for most uses ~ 4.5 hour use/charge.", "Screen is clear and bright.", "Glad it has the DVD drive.", "Perfectly adequate."], "output": "[['laptop usability', 'positive'], ['laptop miscellaneous', 'positive'], ['battery operation_performance', 'positive'], ['display quality', '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": ["Purchased it for my birthday and love it!", "I've been a loyal Dell user for quite some time.", "But every six months my Dell computer crashes.", "Since I also do a lot of writing and illustrations using Adobe products, I thought I would try a Mac.", "I'm so glad that I have.", "It's been a very easy transition moving my Windows created files over to the Mac.", "So far I haven't lost any quality or information.", "I have a little bit of a learning curve with the keyboard shortcuts.", "But other than that, I really am loving the quality and speed."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop quality', 'positive'], ['laptop miscellaneous', 'positive'], ['keyboard usability', 'neutral'], ['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 was an update from an early MacBook Pro.", "Love the speed, especially!", "So glad I decided to upgrade!", "Thanks, MacConnection, for making this a seamless purchase!"], "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": ["For authentic Thai food, look no further than Toons.", "Ive been to many Thai restaurants in Manhattan before, and Toons is by far the best Thai food Ive had (except for my mom's of course).", "Try the Pad Thai, or sample anything on the appetizer menu...they're all delicious."], "output": "[['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": ["I've had the lunch buffet at Chennai a couple of times, when I have been in the neighborhood.", "It is terrific, as is the value.", "$6 and there is much tasty food, all of it fresh and continually refilled.", "I am not a vegetarian but, almost all the dishes were great.", "Frankly, when you compare what you can have here for lunch, versus McDs or so many other sandwich shops in the city, there is no comparison.", "Go hungry and enjoy."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['food style_options', '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": ["No, really.", "I have eaten a lot of pizza here.", "La Rosa waltzes in, and I think they are doing it the best.", "Interesting selection, good wines, service fine, fun decor."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['food style_options', '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": ["Love Pizza 33..", "I will be out with friends and all of a sudden I am hungry and I only crave one thing... their Pizza.", "I live in the neightborhood and am a regular.", "It hits the spot every time"], "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": ["I have NEVER been disappointed in the Red Eye.", "The first time I went, and was completely taken by the live jazz band and atmosphere, I ordered the Lobster Cobb Salad.", "I've never ordered anything else from their menu...there's no need to.", "It's simply the best meal in NYC.", "You cannot go wrong at the Red Eye Grill."], "output": "[['restaurant general', 'positive'], ['ambience 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": ["Great pizza for lunch place.", "Service was quick.", "The pizza was great.", "And it was quick which is very important.", "Have the iced tea.", "It was wonderful."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['drinks 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": ["Toons has recently been redone, so it's now a very attractive space.", "The food's as good as ever.", "In an area sadly lacking in decent Thai food, this is one of the best spots."], "output": "[['ambience 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": ["Dumbfoundingly Poor", "This was, from start to finish, a mind-bogglingly uncomfortable experience.", "Lexicographers take note: a new and fascinating definition of rudeness is alive and flourishing right here in Brooklyn.", "The servers at Flatbush Farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention.", "Polite acknowledgement is out;", "supercilious scorn is in.", "And how many times can you pick up the same perfectly aligned set of napkins, inspect them vapidly and plonk them down in exactly the same place instead of venturing a glance at people who are there to help you make the rent?", "A different server enhanced the fun, dumping our entrees in front of us halfway through our appetizer (which was delicious).", "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.", "The place has a nice fit-out, some attractive furnishings and, from what I could tell, a reasonable wine list (I was given the food menu when I asked for the carte des vins)", "At $120 for two people, however, this in no way represents value, unless you're looking to pay by the hour for passive-aggressive torture.", "On that scale, it's a world-beater."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'positive'], ['ambience general', 'positive'], ['drinks style_options', 'positive'], ['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": ["They all know you.", "Good food.", "Good drink.", "How do you rate home?"], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['drinks 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": ["I have been to Casimir over 5 times and I have always had a great time there.", "The food is great and reasonably priced.", "I have tried to make reservations, but both times, the hostess didn't have my name.", "If the weather is nice, try to snag an outside table.", "The staff has been nice, but they seemed really stressed and the unisex bathroom needs to be cleaned more often."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'conflict'], ['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": ["Obviously the Chinese translation of this place does not mean Big Wong, it actually means Great Prosperity.", "The food here does a great service to the name (Cantonese that is...).", "I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork.", "This dish is my favorite and I always get it when I go there and never get tired of it.", "Try the congee and the donut like deep fried dough they call Ow Ley Soh, a delicious and sweet tasting bread.", "Simply some good tasting Chinese food at incredible prices...", "Service is not what you are coming here for...", "Just make sure my ice water is kept full and my tea kettle filled with piping hot tea and that's all the service I need...", "Big Wong is a great place to eat and fill your stomach."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['service 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": ["I have never eaten in the restaurant, however, upon reading the reviews I got take out last week.", "IT WAS HORRIBLE.", "The pizza was delivered cold and the cheese wasn't even fully melted!", "It looked like shredded cheese partly done - still in strips.", "I have eaten at many pizza places around NYC and this is hands down the worst."], "output": "[['restaurant general', 'negative'], ['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": ["Possibly the Most Romantic Restaurant in the City", "This is undoubtedly my favorite modern Japanese brasserie (that don\u2019t serve sushi), and in my opinion, one of the most romantic restaurants in the city!", "Not only is it an adventure getting to this somewhat hidden spot, once you enter the unmarked wooden doors, the zen and intimate d\u00e9cor will make you feel like you\u2019re no longer in the city.", "If you\u2019re planning to come here, make sure that your date is someone whom you really like since you\u2019ll be ushered to private booths where there will be no people or food watching (choose the ones on the ground level that have glass ceilings so you may see the stars in the sky!).", "It\u2019s just you and your date and an occasional cute \u2018excuse me\u2019 before the waiter opens the little curtain to your booth!", "My party had the BBE $29 fixe prix menu, which was such a wonderful deal since it also came with a flight of sake!", "I never used to be a fan of sakes but am lately experimenting with it a lot more and am acquiring a better taste of it.", "We started off with a delightful sashimi amuse bouche.", "Our first course was Tuna Sashimi with Green Yuzu Sauce.", "I picked the Grilled Black Cod as my entree, which I absolutely devoured while someone commented that the Grilled Salmon dish was better.", "The entrees were served with miso soup and rice.", "The sake\u2019s complimented the courses very well and is successfully easing me into the sake world.", "For desserts, we tried the frozen black sesame mousse (interesting but not extraordinary) and matcha (powdered green tea) and blueberry cheesecake, which was phenomenal.", "Maybe it was the great company (I had friends visiting from Philly \u2013 yes, it was not a date this time) or the super reasonable price point, but I just can\u2019t say enough good things about this brasserie.", "I don\u2019t usually visit the same establishment more than once, what more twice, but I\u2019ll come to Zenkichi anytime for a quiet, unhurried and memorable dinner."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive'], ['location general', 'neutral'], ['service general', 'positive'], ['food prices', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['drinks 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": ["I got an excellent piece of cheesecake and we had several other nice pastries.", "I would recommend Roxy's for that, but not for their food.", "My son and his girlfriend both wanted cheeseburgers and they were huge!", "But, they were too big for the bun.", "Consequently, their burgers fell apart in their hands and made such a mess that they did'nt feel like finishing them.", "Also they were $15 each!", "I had a huge pastrami sandwich on a roll.", "It was $14 not really bad for a pound of Pastrami-but it didn't have much taste-I've had better for less elsewhere!"], "output": "[['food quality', 'conflict'], ['food style_options', 'negative'], ['food prices', '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": ["Gross food \u2013 Wow-", "I can't remember the last time I had such gross food in New York.", "My quesadilla tasted like it had been made by a three-year old with no sense of proportion or flavor.", "And $11 for a plate of bland guacamole?", "Come on.", "Don't get me started on the margaritas, either.", "Mine tasted like the bartender had forgotten to add the tequila.", "Really, I find it rather scandalous that such a crappy restaurant attracts such crowds--this, in the city of a million restaurants, at least 9/10 of which are way better than this one.", "Save your money and your time and go somewhere else.", "Oh, and I never write reviews--I just was so moved by how bad this place was, I felt it was my duty to spread the word."], "output": "[['food quality', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['drinks quality', '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 had a grat time at Jekyll and Hyde!", "I loved everythig about it-especially the shows and actors.", "Our server was very helpful and friendly.", "I am bringing my whole family back next time.", "The food was good too."], "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": ["i love margherita pizza \u2013 i looove east village pizza", "Love this place, every time we are in the city this is one of the places we always go.", "A quintessential slice of NYC pizza.", "The crust has a great bite and a good chew, the sauce is light with a nice acidity to it, the salt from the cheese is great, really heightens the flavor of all the other components.", "Personally I like the margherita pizza better, but they are all good."], "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": ["go here for the drinks!", "esp. during happy hour!", "enough said!", "the drinks are amazing and half off till 8pm.", "Ask for Usha, the nicest bartender in manhattan.", "My fav was the sassy lassi..."], "output": "[['drinks quality', 'positive'], ['drinks prices', '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": ["Everytime I decide to try another place on the UES, I get angry that I didn't just go to Zucchero Pomodori.", "This is by far my favorite place in the neighborhood.", "The service is excellent, the decor is great, and the food is delicious and comes in large portions.", "You'll pay at least double at any other Italian restaurant in the city, and most still don't compare.", "I'm partial to the Gnocchi."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', '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 place is a lot of fun.", "My six year old loved it.", "The characters really make for an enjoyable experience.", "The food however, is what one might expect.", "It is very overpriced and not very tasty.", "However, I think Jeckll and Hydes t is one of those places that is fun to do once.", "We had a good time."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive'], ['food quality', '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": ["Love Al Di La", "I recommend this place to everyone.", "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": ["I was very disappointed with this restaurant.", "Ive asked a cart attendant for a lotus leaf wrapped rice and she replied back rice and just walked away.", "I had to ask her three times before she finally came back with the dish Ive requested.", "Food was okay, nothing great.", "Chow fun was dry; pork shu mai was more than usually greasy and had to share a table with loud and rude family. ", "I/we will never go back to this place again."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'negative'], ['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": ["Not sure where the previous reviewer, lonk, dined, but Saul is in a great neighborhood and has great food!", "I've been there three times and have always had wonderful experiences.", "I'd highly recommend it for a special occasion -- it provides and intimate setting and nice service."], "output": "[['location general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive'], ['ambience general', 'positive'], ['service 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": ["Good, fast service.", "I would highly recommend.", "Food is great and inexpensive.", "The location is perfect.", "Give it a try and enjoy."], "output": "[['service general', 'positive'], ['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['location 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 hearing a lot of great things about the restaurant, and passing by it on a daily basis, we decided to try.", "We were less than impressed.", "While the ambiance and atmosphere were great, the food and service could have been a lot better.", "We ordered the chicken casserole, but what we got were a few small pieces of chicken, all dark meat and on the bone.", "Probably would not go again..."], "output": "[['restaurant general', 'negative'], ['ambience general', 'positive'], ['food quality', 'negative'], ['service general', '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": ["My girlfiends and I ate at O.G. again last night.", "I have to say I have never had a disapointing meal here.", "We could have made a meal of the yummy dumplings from the dumpling menu.", "Luckily we saved room for the BBQ Salmon, Sea Bass and Crispy Duck.", "We got a little tipsy from the sake but isn't that what Saturday nights with the girlfriends are all about?"], "output": "[['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": ["There are many Thai places in the city but so far Toons is #1.", "Their pad penang is delicious and everything else is fantastic.", "The price is reasonable although the service is poor."], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive'], ['service 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": ["Downtown Dinner 2002 - Prixe fix: Appetizers were ok, waiter gave me poor suggestion..try the potato stuff kanish best one.", "Small servings for main entree, i had salmon (wasnt impressed) girlfriend had chicken, it was good.", "Dessert is a joke...dont bother"], "output": "[['food quality', 'conflict'], ['service general', 'negative'], ['food style_options', '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": ["delicious simple food in nice outdoor atmosphere.", "Kind, attentive wait staff.", "I really like both the scallops and the mahi mahi (on saffron risotto-yum!).", "My friend devoured her chicken and mashed potatos.", "Delicious crab cakes too.", "Even if the food wasn't this good, the garden is a great place to sit outside and relax.", "Great neighborhood joint."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["LLOOVVE THIS PLACE.", "Food is excellent.", "Fish is so very fresh.", "Waitstaff are very friendly.", "Love YUKA."], "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": ["The food was mediocre at best but it was the horrible service that made me vow never to go back.", "Immediately after we paid, the waiter took the money and said, okay, you guys are outta here.", "There are other people waiting!", "We weren't even at our table for more than an hour total.", "As we were leaving, the couple standing by the door said to another waiter, we're not in a hurry.", "Our friends have not arrived yet.", "So rushing us out was absolutely unnecessary!", "For the people who want great food plus great service, Roxy is a place to AVOID!"], "output": "[['food quality', 'negative'], ['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": ["Went to Village last night for my birthday.", "We picked it randomly, without a recommendation from someone who has been there, so we weren't sure what to expect.", "We were very pleasantly surprised.", "The food was delicious (I had a halibut special, my husband had steak), and the service was top-notch.", "When my dessert came, there was a candle in it - not because anyone asked for one - but because the waiter must have seen me opening my birthday card and gift, and said he knew it was a special occassion of some sort.", "Truly the mark of an attentive waiter.", "I highly recommend the restaurant based on our experience last night."], "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": ["The place is a BISTRO which means: simple dishes and wine served efficiently in a bustling atmosphere.", "And where does Patis go wrong; no where. ", "You are not eating haut cuisine with subtle hints of whatever but: Cassuolet, Steake Fritte, Tripe Stew, etc; simple stuff.", "And evaluated on those terms Pastis is simply wonderful."], "output": "[['food style_options', 'positive'], ['drinks style_options', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['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": ["Super light weight (I never cared either way about weight until now)."], "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": ["The games included are very good games."], "output": "[['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": ["I just love this lap top, I just wish it were all silver or they had all black."], "output": "[['laptop general', 'positive'], ['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 sure I just got a bad egg, but instead of getting a replacement I decided to try a different one."], "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": ["Then after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running."], "output": "[['power_supply quality', 'negative'], ['power_supply operation_performance', 'negative'], ['hardware 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 barely have any files or downloads and its almost impossible to get this thing to load."], "output": "[['laptop operation_performance', 'negative'], ['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": ["Great Laptop!"], "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 received this laptop as a gift and let me just tell you that its the worst."], "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 very difficult to use this computer."], "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": ["True quality at a great price!"], "output": "[['laptop quality', '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": ["not as fast as I would have liked it to be but everything else is great!"], "output": "[['laptop operation_performance', '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": ["The hinges on this PC are nice and tight and well made like the rest of the PC."], "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": ["The display is awesome."], "output": "[['display 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": ["No bass sound at all."], "output": "[['multimedia_devices 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 only had this computer for a few days an I already don't like 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": ["I use a cooling pad but it doesn't help."], "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": ["Perfect size for me."], "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": ["Its very nice and once you learn the features you will be so happy to have such a sophisticated computer."], "output": "[['laptop general', '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": ["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'], ['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": ["DEFINITELY recommended!!!"], "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 ease in which you set everything up is such that a child could do it."], "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": ["I am a college student and it has been very useful."], "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": ["Excellent speed for processing data."], "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 am really not happy with this computer..."], "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": ["They were excellent to handle our return and post our refund back into our account the next day."], "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": ["Good for every day computing 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": ["A month or so ago, the freaking motherboard just died."], "output": "[['motherboard 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": ["When I called Toshiba, they would not do anything and even tried to charge me $35 for the phone call, even though they didn't offer any technical support."], "output": "[['support quality', 'negative'], ['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": ["That's a nuisance for family Skype calls...only one can speak at a time."], "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": ["Toshiba does not send any one out unless you have paid extra to have the on site repair done."], "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": ["Not bad for the price."], "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": ["The screen takes some getting use to, because it is smaller than the laptop."], "output": "[['display usability', 'neutral'], ['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": ["I returned the computer to HP and they kept it for 3 months."], "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've had the MacBook Pro 15 for about three weeks, and it really is a great 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": ["I love this laptop!"], "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": ["Runs Hot"], "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": ["Great Laptop for the price, works well with action pack games."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['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 easy to type on and feels great - besides the added feature that the keyboard is lighted."], "output": "[['keyboard usability', 'positive'], ['keyboard quality', 'positive'], ['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": ["I bought it to use in college and it is perfect."], "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": ["From the moment I opened the box to the present it has been a great joy."], "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 like it so much, I bought another just for my wife."], "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 was a great purchase."], "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": ["iLife is easily compatible with Microsoft Office so you can send and receive files from a PC."], "output": "[['software 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": ["it was slow and might be problematic."], "output": "[['laptop 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": ["I love this laptop to the moon."], "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's extremely light weight and slim because of the lack of an optical drive (who uses those anymore anyways) so it easily fits into any college students bag."], "output": "[['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": ["Also wish it had a port to plug an internet cord into it because sometimes my wifi router likes to not work."], "output": "[['laptop design_features', 'negative'], ['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": ["super fast processor and really nice graphics card.."], "output": "[['cpu operation_performance', 'positive'], ['graphics 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 computer itself runs very quiet and is mostly cool to the touch."], "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 a great prodcut to handle basic computing needs."], "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": ["If what you need is a machine to do some surfing, email checking, word processing, and watching a movie or two, this is the machine you want."], "output": "[['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": ["THE 8.1.WAY DIFFERENT THAN MY OTHER COMPUTER SO WE HAVE TO GET USE  TO IT."], "output": "[['os 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 computer could have been shipped by Priority Mail through the USPS for the same cost and arrived by Noon on Tue."], "output": "[['shipping 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 of the computer since i play games on it."], "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": ["Yet, HP won't do anything about the 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": ["For the use it was purchased for it is a good Laptop."], "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 WANT TAKE IT, IT KEEP SAYING ERROR."], "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": ["After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace."], "output": "[['hard_disc quality', 'negative'], ['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": ["It seems that this computer might be a lemon."], "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": ["I love my Apple, it is quick and easy to use."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', '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": ["They also have a longer service life than other computers (I have several friends who still use the older Apple PowerBooks)."], "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 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": ["The screen graphics and clarity, and sharpness are great."], "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": ["This one however, is now very loose and I have to either tap hard or repeatedly push to click in order for it to work, Then suddenly, I can barely touch it at all and it clicks on its own."], "output": "[['mouse quality', 'negative'], ['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": ["Again, the same problem, the right speaker did not work."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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": ["It is easy to use, its keyboard easily accommodates large hands, and its weight is fantasic."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['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": ["The 2 GB of RAM is plenty, able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown."], "output": "[['memory design_features', '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": ["I have to keep turning it until it decides to lower and there is no mute."], "output": "[['multimedia_devices operation_performance', 'negative'], ['multimedia_devices usability', 'negative'], ['multimedia_devices 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": ["Money and time well spent!"], "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": ["But, for the cost this is a winner."], "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 does have a habit of restarting itself when you try to do the log in pw. but over all. im very satisfied."], "output": "[['laptop operation_performance', '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": ["I'm stuck w/ a broken computer."], "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": ["So to communicate I need to wear ear plugs or a headset with a built-in mike."], "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": ["The sound is disappointing."], "output": "[['multimedia_devices 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 touchpad is very intuitive, so much so that I never want to use buttons to click again!"], "output": "[['mouse 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 plastic materials are rather cheap."], "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": ["I really like the Mac 15.4in. Notebook, but its very pricey."], "output": "[['laptop general', '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": ["Sorry Toshiba, but 1st impressions do count for something."], "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": ["It has many great programs, such as ILife, iPhotos and others."], "output": "[['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": ["Very fast and good for most steam games."], "output": "[['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": ["i spent eight hundred dollars from a giant paper weight that looks good on a bus."], "output": "[['laptop design_features', 'neutral'], ['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": ["It has no camera but, I can always buy and install one easy."], "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": ["I also got the added bonus of a 30\" HD Monitor, which really helps to extend my screen and keep my eyes fresh!"], "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": ["Its not just slow on the internet, its slow in general."], "output": "[['laptop operation_performance', 'negative'], ['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": ["This was the 3rd day and part still had not been shipped."], "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 is easy to use and lightweight."], "output": "[['laptop 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": ["However I am very upset that it doesn't have the superdrive built in!"], "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": ["This product was DOA."], "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": ["I like the laptop overall."], "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": ["My friends are in awe every time they come over!"], "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": ["And Toshiba is totally unconcerned."], "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": ["Of course this will decrease your battery life."], "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": ["It is everything I'd hoped it would be from a look and feel standpoint, but somehow a bit more sturdy."], "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": ["Obviously, this Macbook is P-E-R-F-E-C-T for me because it does exactly what I need in an easy-to-function way."], "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": ["Too many steps to get anywhere and hard to set up"], "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": ["Windows 7 Starter is terrific (no you can't change the background) but I don't need to, I use it just for school work."], "output": "[['os general', 'positive'], ['os 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": ["I would like to have volume buttons rather than the adjustment that is on the front."], "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": ["The keyboard is too slick."], "output": "[['keyboard 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 tried giving it 0 stars but I had to choose at least one, but IMO NO STARS"], "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": ["That's how frustrating it was."], "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": ["Lenovo is the best laptop."], "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": ["Screen is awesome, battery life is good."], "output": "[['display general', '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": ["Very nice 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": ["Skype is just so dang cool with this machine too."], "output": "[['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": ["Even my extremely tech savvy boyfriend was impressed with the features and sleek design."], "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": ["Overall build quality is cheap."], "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": ["I really don't like it, but I am stuck."], "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 fires up in the morning in less than 30 seconds and I have never had any issues with it freezing."], "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": ["Once again apple stands alone at the top of the charts."], "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": ["Might not make the avid gamer happy but I don't really think that is what this computer is designed for."], "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": ["It meets all my needs for work and pleasure while traveling."], "output": "[['laptop miscellaneous', '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": ["the manufacturer's warranty only covers replacement/repair of parts."], "output": "[['warranty 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": ["when i called to have another one shipped or to get my money back they said the return policy is 23 twenty three days from the date of purchase."], "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": ["what an elegant, wonderful machine."], "output": "[['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": ["The lesson learned here is: It does not pay to by this loyal to any brand, since all of them are there to simply  to make as much money as possible, as fast as they can, and in this day and age, the customer no longer is right all the times."], "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": ["Biggest piece of junk I have ever purchased."], "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": ["But now I am having battery problems."], "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": ["Just don't waste your time and 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": ["I also love the small, convenient size of my laptop, making it a perfect tool for my academic studies."], "output": "[['laptop design_features', 'positive'], ['laptop usability', '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": ["The price and features more than met my needs."], "output": "[['laptop price', '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 power supply cord developed exposed wires within the first year of ownership, so it was covered by the Applecare warranty plan."], "output": "[['power_supply quality', 'negative'], ['warranty 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 coupla months later, they change my hard drive."], "output": "[['hard_disc 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": ["Additional caveat: the base installation comes with some Toshiba-specific software that may or may not be to a user's liking."], "output": "[['software 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": ["Ive had to call tech support many times."], "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": ["Took it back as it was defective."], "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": ["In the description it said there is Bluetooth but no there isn't."], "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": ["It is made better, thicker, and all out tough!"], "output": "[['laptop quality', '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": ["I use this for my tutoring business, and since I'm always bouncing from student to student, it is ideal for portability and battery life (yes, it gets the 8 hours as advertised!)."], "output": "[['laptop portability', '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": ["I sent it back AND THEY LOST 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'v spent as much for shipping as I would to buy a new netbook -- of course a different brand."], "output": "[['shipping price', '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 also travel with it and it never gives me any problems."], "output": "[['laptop portability', '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 laptop is nice."], "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 mouse click is a bit loud, but it really isn't a problem."], "output": "[['mouse 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": ["It is in the best condition and has a really high quality."], "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": ["CRASHED only 2 days from getting it!!!!"], "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": ["Let me start with the good:So awesome."], "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": ["Needless to say I told them No and have a nice day and hung up!"], "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": ["This just keeps having it's hard drive replaced!"], "output": "[['hard_disc 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": ["No Viruses!"], "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 can't imagine my life without it anymore!"], "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, fast and fast, the web pages just fly by."], "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 actually had the hard drive replaced twice, the mother board once, the dvd drive twice, then they FINALLY agreed to replace it, (ALL OF THIS IN LESS THAN 1 1/2 YEARS!)only to get another \"HP/Compaq\" piece of crap."], "output": "[['hard_disc quality', 'negative'], ['motherboard quality', 'negative'], ['optical_drives quality', 'negative'], ['support quality', '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": ["Boots up fast and runs great!"], "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": ["For example, when my husband turns the light out while I'm on the computer. the screen brightness automatically adjusts."], "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": ["It allows you to automatically upload photos to your Facebook account with one click."], "output": "[['software 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": ["Also, after restarting the laptop it constantly made high pitched electronic noises."], "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": ["We haven't had any problems with it at all."], "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": ["Well worth the extra cost."], "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": ["I absolutely love my Dell Inspiron!"], "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": ["Other than a hate of windows 8, she just loves it."], "output": "[['laptop general', 'positive'], ['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": ["This computer had exactly the specifications I needed."], "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 everything 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": ["If you buy this - don't go into it expecting 7 hrs of battery life, and you'll be perfectly satisfied."], "output": "[['battery operation_performance', '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": ["So I called Compaq, and after being on the phone for 3 hours, i finally got a replacement which I shouldn't have had a problem getting since it was under warranty."], "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 just hope the reputation that Toshiba has is true and I won't have to worry about a crash."], "output": "[['company 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 only thing that isn't perfect about this netbook is the speakers, they are not loud at all but I expected that."], "output": "[['multimedia_devices 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 computer is absolutely perfect for web browsing, watching video, word processing, and that's about it."], "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 have held up well not just in our sales department, but also in our service department where they are exposed to dust, exhaust, grease, oil, and all manner of other non-computer-friendly substances."], "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": ["Its fast and another thing I like is that it has three USB ports."], "output": "[['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": ["The battery gets so HOT it is scary."], "output": "[['battery 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 perfect notebook..."], "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": ["Now when I say don't expect to play games on it, I mean it."], "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 have found it very easy to use, very imformative, wonder alerts and tutorials making it very easy for someone like me who is not exactly technologically advanced to learn to use the various features and programs."], "output": "[['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": ["Only thing I would want to add to this is an internal bluray read/write drive."], "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": ["This laptop serves all my needs."], "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 think this computer is super lame."], "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": ["However, it does not have a DVD drive, neither does it afford one the opportunity to connect an external DVD drive as the manufacturer did not make any point ofconnection of an external drive."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative'], ['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": ["Below average on the w-fi adapter which I'm still trying to get to the bottom of."], "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": ["One of the very few laptops still available with Win 7 Pro, multiple USB ports, and a DVD read/write drive."], "output": "[['os general', '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": ["The Apple team also assists you very nicely when choosing which computer is right for you :)"], "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": ["I was surprised with the performance and quality of this HP Laptop."], "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": ["I play a lot of casual games online, and the touchpad is very responsive."], "output": "[['mouse 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": ["The display is good quality."], "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": ["Handles all my basic media needs easily."], "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": ["I've only had mine a day but I'm already used to it..."], "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": ["This computer was awful!"], "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 love it and will probably get another one when this goes to the Laptop in the sky!!"], "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's a bummer and one out of five is being kind."], "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": ["By just looking at it you will realize it's crap."], "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": ["Seriously, save yourself the hassle and purchase from a different company."], "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": ["Would like more trendy, high tech features."], "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": ["The much lauded combined touch pad and clicker is a nightmare."], "output": "[['mouse 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": ["This laptop meets every expectation and Windows 7 is great!"], "output": "[['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": ["But, like I said before, the only reason I don't currently have a Mac laptop is because all of their laptops are too pricey."], "output": "[['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": ["I'm all for saving money but Dell needs to step it up."], "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": ["Being a PC user my whole life, it's taking a bit of time to adapt to the OS of a Mac but I'm finding my way around."], "output": "[['os 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": ["Keyboard is nice and windows 8.1 is great, worried about that coming from xp."], "output": "[['keyboard 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": ["Features like the font are very block-like and old school."], "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": ["However, I love this particular Mac because its very fast, great size, and has fantastic features like the lighted keyboard and easy mouse pad."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['keyboard design_features', 'positive'], ['mouse 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": ["It's wonderful for computer gaming."], "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": ["I am overall very pleased with my toshiba satellite, I like the extra features, I love the windows 7 home premium."], "output": "[['laptop general', 'positive'], ['laptop design_features', '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": ["I prefer typing without having to see the keyboard but due the large touchpad, i always have to type cautiously as my hand might take me somewhere else."], "output": "[['mouse design_features', '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": ["I purchased a  Dell Inspiron I3531-1200BK and so far I love it, this model has a true life monitor, which is worth the extra bucks."], "output": "[['laptop general', 'positive'], ['display design_features', '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": ["If you buy, pray you dont have major prolems."], "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": ["The only bad thing about it is they give you the worst batteries possible."], "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 love this laptop!"], "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 netbook went bad on me after 3 days."], "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 software and speed enable it to do amazing things."], "output": "[['laptop operation_performance', '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": ["The Awesomest of the awesomest."], "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": ["its very fast and very light."], "output": "[['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": ["I am not ultra tech savvy but I can tell when it works 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": ["Also, I have alot of trouble with it getting very hot, and not even sitting on anything to make it hot."], "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": ["I decided to get this pile of crap on a whim and totally freaking regret 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": ["It is quiet and a real joy to watch work."], "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": ["The svc can be a bit rude at times, esp if you have big group, but overall the restaurant is a must!"], "output": "[['service 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": ["I look forward to eating here 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": ["Check out the secret back room."], "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": ["Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation."], "output": "[['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": ["The menu has so many fish items and oysters."], "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": ["I'm still mad that i had to pay for lousy food."], "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": ["How do you rate home?"], "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": ["I like the ambience, it's very dark and original."], "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": ["This has got to be one of the most overrated restaurants in Brooklyn."], "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": ["You will not be disapointed at all."], "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 characters really make for an enjoyable experience."], "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": ["You must try the shrimp appetizers."], "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 sake menu should not be overlooked!"], "output": "[['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": ["The rice was poor quality and was cooked so badly it was hard."], "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": ["Service is fast and friendly."], "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 SERVICE IS AMAZING, i've had different waiters and they were all nice, which is a rare thing in NYC."], "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": ["I do not recommend."], "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": ["All the people that I bring there go back on their own and bring THEIR friends!"], "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": ["Their sake list was extensive, but we were looking for Purple Haze, which wasn't listed but made for us upon request!"], "output": "[['drinks 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": ["Food took some time to prepare, all worth waiting for."], "output": "[['food quality', 'positive'], ['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": ["$170 down the toilet..."], "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": ["The sauce tasted more like Chinese fast food than decent Korean."], "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": ["By the time we finished our dinner we still had not received one beverage NOR hooka!"], "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 go out to eat and like my courses, servers are patient and never rush courses or force another drink."], "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": ["you know what i mean all the positives things happening there made mw write this review."], "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": ["Seating is always prompt, though the restaurant does fill up in the evening."], "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 pleasantly suprised."], "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": ["This was a repeat visit and we'll definitely be back 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": ["I've enjoyed 99% of the dishes we've ordered with the only exceptions being the occasional too-authentic-for-me dish (I'm a daring eater but not THAT daring)."], "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": ["Way below average"], "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": ["No thanks!!!"], "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": ["Authentic Taiwanese food that's cheap... what more could you ask for?"], "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": ["Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best, freshly baked bread!"], "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."], "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": ["Mine was a little burnt but still delicious with goat cheese and panchetta (raddichio was kind of bitter though)."], "output": "[['food quality', '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": ["The atmosphere is relaxed and casual."], "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 design and atmosphere is just as good."], "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": ["This was the perfect quiet, relaxing, and delicious accompaniment to our afternoon of theater."], "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": ["Service was wonderful;"], "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": ["Wasn't going to share but I feel obligated...while sitting at the sushi bar dining we watched the chef accidentally drop a piece of Unagi on the floor and upon retrieving it from the floor proceed to use the piece in the delivery order he was preparing."], "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": ["For each course we waited over 1/2 hour to 45 minutes and were never offered a drink."], "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": ["One of us actually liked the expresso - that's it."], "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": ["Bukhara is on my top 5 Indian places in NYC"], "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": ["This is the BEST Shabu-Shabu Restaurant in the Try-State Area."], "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": ["In any event, this is a place I'll be sure to stop by again when I'm in this part of town."], "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 pizza was pretty good and huge."], "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": ["The only beverage we did receive was water in dirty glasses!"], "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": ["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."], "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 food tasted very 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": ["Their pad penang is delicious and everything else is fantastic."], "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": ["sometimes i get bad food and bad service, sometimes i get good good and bad service."], "output": "[['food quality', 'negative'], ['service general', 'negative'], ['service general', '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": ["If you are looking for a good quality, cheap eats - this is the place."], "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": ["Everyone was more then happy with his choices."], "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": ["But the best pork souvlaki I ever had is the main thing."], "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": ["A real dissapointment."], "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": ["Overall I would recommend it and go back 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": ["It is thick and slightly soggy."], "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": ["When asked about how a certain dish was prepared in comparison to a similar at other thai restaurants, he replied this is not Mcdonald's, every place makes things differently "], "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": ["Big Wong is a great place to eat and fill your stomach."], "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 real problem I had with this place was the complete lack of service."], "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": ["Paul, the maitre d', was totally professional and always on top of things."], "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": ["Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese....both very tasty."], "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": ["I will NEVER return."], "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": ["I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot."], "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": ["The pizza is delicious - they use fresh mozzarella instead of the cheap, frozen, shredded cheese common to most pizzaria's."], "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 dessert (we had a pear torte) was good - but, once again, the staff was unable to provide appropriate drink suggestions."], "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": ["The food is outstanding and the service is quick, friendly and very professional."], "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": ["This restaurant was recommended by a local...as a matter of fact, he made the reservation for us and said we would not be 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": ["BEST DINING EXPERIENCE IN THE WEST VILLAGE!"], "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": ["Great food, great prices, great service."], "output": "[['food quality', 'positive'], ['restaurant prices', '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'm not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and I all enjoy Mizu very much... and we're repeat customers."], "output": "[['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": ["Chow fun was dry; pork shu mai was more than usually greasy and had to share a table with loud and rude family. "], "output": "[['food quality', 'negative'], ['food quality', 'negative'], ['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": ["Wine list is extensive without being over-priced."], "output": "[['drinks style_options', '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": ["Everyone seemed generally happy with their food, except my brother who had the grilled Mahi Mahi, seemingly drenched in Grapfruit Juice! "], "output": "[['food quality', 'positive'], ['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": ["Just straight up cheap, good food."], "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": ["Toons has recently been redone, so it's now a very attractive space."], "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": ["for 7 years they have put out the most tasty, most delicious food and kept it that way..."], "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": ["Considering you will spend at least $60 a head, I expect better service. "], "output": "[['service 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": ["Sauce was watery and the food didn't have much flavor."], "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": ["The combination of super-fresh ingredients in the dishes are unusual but really 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": ["Nice atmosphere, the service was very pleasant and the desert was good."], "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": ["Thank You Emilio."], "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": ["Also, the sandwiches (nearing $7) didn't come with anything like chips or a side."], "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": ["Decor is charming."], "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 staff is incredibly helpful and attentive."], "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": ["If the weather is nice, try to snag an outside table."], "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 tried a couple other dishes but wasn't too impressed."], "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": ["The food was amazing, and the service was prompt and helpful, but not over-bearing or rushed."], "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": ["Terrible, terrible management - deserves to be shut-down."], "output": "[['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": ["Friendly staff that actually lets you enjoy your meal and the company you're with."], "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 different server enhanced the fun, dumping our entrees in front of us halfway through our appetizer (which was delicious)."], "output": "[['service general', '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": ["The takeout is great too since they give high quality tupperware as well."], "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": ["Sushi experience was unbelievable with my fiance."], "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": ["Beef noodle soup is good as well."], "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": ["Two complaints- their appetizer selection stinks, it would be nice to get some mozzarella sticks on the menu."], "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": ["Service, however, was excellent...and I liked the setting/atmosphere a lot. "], "output": "[['service 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": ["Rude service, medicore food...there are tons of restaurants in NY...stay away from this one"], "output": "[['service general', 'negative'], ['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": ["You can do it here."], "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": ["I went to Areo on a Sunday afternoon with four of my girlfriends, and spent three enjoyable hours 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": ["When you add it all together, it just doesn't seem worth it to me...especially considering the prices."], "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": ["Someone else recommended the dessert - we also left that."], "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 large selection of bruschettas, paninis, tramezzinis keep the palate from stagnating."], "output": "[['food style_options', 'positive'], ['food style_options', '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": ["This is some really good, inexpensive sushi."], "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": ["This place has totally weird decor, stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional..."], "output": "[['ambience general', 'negative'], ['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": ["We didn't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough. "], "output": "[['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": ["You cannot go wrong with 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": ["I can't wait to 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 had a huge pastrami sandwich on a roll."], "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": ["I loved it and 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": ["We ordered the chicken casserole, but what we got were a few small pieces of chicken, all dark meat and on the bone."], "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": ["well, i didn't find it there, and trust, i have told everyone i can think of about my 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": ["Even though its good seafood, the prices are too high."], "output": "[['food quality', 'positive'], ['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": ["This is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates."], "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": ["My party had the BBE $29 fixe prix menu, which was such a wonderful deal since it also came with a flight of sake!"], "output": "[['food 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": ["When we inquired about ports - the waitress listed off several but did not know taste variations or cost."], "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": ["His response was smug, arrogant, and condescending, totally consistent with his deportment on display all evening."], "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": ["Best Taiwanese food 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": ["I will be going back very soon."], "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": ["Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future."], "output": "[['food quality', '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": ["The food options rule."], "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": ["When we threatened to leave, we were offered a meager discount even though half the order was missing."], "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": ["im not necessarily fanatical about this place, but it was a fun time for low pirces."], "output": "[['restaurant 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": ["I found the food to be outstanding, particulary the salmon dish I had."], "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": ["A classic!"], "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 crust was imazingly cooked well and pizza was fully loaded:):):)"], "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": ["I had the best ravioli ever."], "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": ["It was served with skin, over a bed of extremely undercooked spinach and mashed potatoes."], "output": "[['food style_options', '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": ["Noodle pudding is exactly the type of service and food I enjoy."], "output": "[['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": ["Mermaid Inn is an overall good restaurant with really good seafood."], "output": "[['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": ["Also, because it is so thin, it gets cold very quickly and its not that filling."], "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": ["I won't go back unless someone else is footing the bill."], "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": ["There is no excuse for such lousy service!"], "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'm not picky - but it was actually gross."], "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": ["What more can you ask for?"], "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 service was excellent and the food was delicious."], "output": "[['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": ["Have never had a problem with service save a missing rice once."], "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 think I've had some the best meals of my life at minnow."], "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": ["Not because you are \"The Four Seasons\"... \u2013 you are allowed to charge an arm and a leg for a romatic dinner."], "output": "[['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": ["The hot dogs are good, yes, but the reason to get over here is the fantastic pork croquette sandwich, perfect on its supermarket squishy bun."], "output": "[['food quality', 'positive'], ['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": ["Most importantly, food is excellent."], "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": ["if you're daring, try the balsamic vinegar over icecream, it's wonderful!"], "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": ["Chennai Garden is my favorite Indian restaurant 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": ["They forgot a sandwich, didn't include plastic forks, and didn't include pita with the hummus platter."], "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 is a bit hidden away, but once you get there, it's all worth it."], "output": "[['location 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": ["Gorgeous place ideal for a romantic dinner"], "output": "[['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": ["Open late (well as late as I ever got there and I'm a night person)"], "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": ["I went there for lunch and it was not as good as I expected from the reviews I read."], "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": ["Rao's has the best service and atmosphere in NYC."], "output": "[['service 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": ["She was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about Indian food."], "output": "[['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": ["(Always ask the bartender for the SEASONAL beer!!!"], "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 place itself is beautiful the bar scene seems to be happening."], "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": ["One of the BEST"], "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": ["Great bagels made the old-fashioned way."], "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": ["The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes."], "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 place is a must 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": ["Its location is good and the fact that Hutner College is near and their prices are very reasonable, makes students go back to Suan again and again."], "output": "[['location 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": ["Don't go with a larger group than 4! "], "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": ["the last time i walked by it looked pretty empty. hmmm."], "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": ["One of my favorite places in Manhattan."], "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": ["Okay-i don't mind the oily part (cause most are cooked that way) but it was way too bland."], "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": ["I would highly recommend 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": ["Food-awesome."], "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 also recommend the rice dishes or the different varieties of congee (rice porridge)."], "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": ["When family came in he gave them apps to test their palets, and then ordered for them."], "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 potato balls were not dry at all... in fact it was buttery."], "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": ["Raga's is a romantic, cozy restaurant."], "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 vibe is very relaxed and cozy, service was great and the food was excellent!"], "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": ["Also very inexpensive."], "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": ["The buffet had a nice selection."], "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": ["We arrived and were seated immediately, which made us both happy."], "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": ["love the food."], "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']] "}