{"task_type": "generation", "dataset": "semeval-2016", "input": ["Screen broke 1 month outside warranty.", "Overall build quality is cheap.", "Avoid Acer."], "output": "[['display 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": ["Purchased a Toshiba Lap top it worked good until just after the warrenty went out.", "After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace.", "Before we got this laptop, had\u00a0a\u00a0compaq pasaro\u00a0for 5 years with no problems.", "After the bad experience with this computer went back to compaq."], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['hard_disc quality', 'negative'], ['support 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": ["My hp G60-244dx died after only 16 months.", "It started out getting hot after only a few months.", "I should have sent it back to them then.", "At 16 months it started shutting off after only 5 or 10 minutes.", "I use a cooling pad but it doesn't help.", "I took it to the shop and they said It would cost too much to repair it.", "I had a toshiba for 10 years.", "I'll stick to Tashiba."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['support 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": ["Okay, let's just start out by saying I am in no way a computer techy.", "I am a wife, mom and a school teacher and a college student.", "Trying to balance all of my roles leaves very little time for me to do anything, so I want to manage my time I do have to be the most efficient.", "I work on a PC at home and have used Pc all through college.", "I use the computer to basically check emails, surf the web, print coupons and for my college papers.", "I was getting extrememly frustrated when I would want to do these simple taks that I would have to wait and wait and wait for things to download or virus that would clog up my PC.", "It would take up too much time to do reaearch for my papers and I would be up hours-just because the computer was too slow.", "My brother is a computer wiz and would laugh at me because he used an Apple.", "Finally, I couldn't take it anymore and ordered my Apple.", "Yes, I thought the expese was a little much, but I now realize you get what you pay for.", "I love my Apple, it is quick and easy to use.", "I've had to call Apple support to set up my new printer and have had wonderful experiences with helpful, english speaking (from Vancouver) techs that walked me through the processes to help me.", "I can't say enough of how satisfied I am with their product and help aftermarket.", "Money and time well spent!", "Highly recommended!"], "output": "[['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['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": ["My husband got me this for Chrismas after getting me a very expensve laptop that did not work after 2 days.", "So we exchanged it for the same on and after 2 hours it didn't work.", "I went with him and we picked this one.", "It is made better, thicker, and all out tough!", "I droped this once from thetable when my baby girl grabed me one day and IT is still working with NO issues!", "I love the easy to see screen, and It works well for work, persoal or just play.", "I tell everyone I see out looking to get this or another Toshiba.", "My dad has one of the very first Toshibas ever made, yes its abit slow now but still works well and i hooked to my ethernet!", "My friends or children use that when they need to borrow the Net =) When I out grow this Meaning when its old and my oldest child is ready for one she will get this one ANd I will be buying only TOSHIBA!", "I just love this lap top, I just wish it were all silver or they had all black.", "That is my only complaint!", "LOVE THIS LAPTOP WONDERFUL PRICE FOR WHAT YOU GET!", "WOULD PAY MORE FOR IT IF I HAD TOO!"], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'conflict'], ['display usability', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop general', 'positive'], ['company general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this laptop!", "It does everything I need it too!"], "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": ["From the start, when you open the box you see a completely different class of machine.", "The ease in which you set everything up is such that a child could do it.", "The screen is bright and clear, the operating system is solid and friendly to a novice.", "Fast, fast and fast, the web pages just fly by.", "I had my IWORKS, Itunes, Email, MS Office, network and printers set up and completely working perfectly within an hour.", "That includes transferring my music and movies.", "Good bye BLUE SCREEN and Critical errors!!!!", "Skype is just so dang cool with this machine too.", "I can hardly wait to see whats around the next corner.", "My Iphone synced right up just like a person would expect, unlike the PCs in our lives.", "If only Bill Gates would read some of what is said here MS would do a better job.", "If your time is worth anything to you, if you are tired of rebooting, reformatting, reinstalling, trying to find drivers, if you want a computer to work for you for a change, make the change to this computer.", "It is light and the battery last a very long time.", "Very fast boot up and shut down."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['display quality', 'positive'], ['os quality', 'positive'], ['os usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['software general', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall this laptop is great.", "It has plenty of memory, lots of hard drive, and great graphics.", "It runs very quiet too which is a plus.", "The only bad thing about it is they give you the worst batteries possible.", "They only stay charged a little over an hour.", "Laptops are usually used on the go, so why not give you a better battery?"], "output": "[['laptop general', 'positive'], ['memory design_features', 'positive'], ['hard_disc design_features', 'positive'], ['graphics general', 'positive'], ['laptop quality', 'positive'], ['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": ["It has some bloat wear that I wish weren't there.", "It works fine for a PC in this price range.", "I bought it for my parents (late 60s) and they love it - particularly the keyboard and screen."], "output": "[['laptop design_features', 'negative'], ['software general', 'negative'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['laptop general', 'positive'], ['keyboard general', 'positive'], ['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": ["I love HP,, it's the only computer/printer we will buy.", "Got this for a graduation gift for my daughter for her to use at college.", "This is perfect for her field."], "output": "[['company general', 'positive'], ['laptop 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": ["This is an ok computer.", "The processor shows a speed of 1.7gz.", "The sound is disappointing.", "No bass sound at all.", "Maybe this one is just a dud."], "output": "[['laptop general', 'negative'], ['multimedia_devices 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": ["I love this laptop to the moon.", "My favorite colors black and red, the matte material and the red backlight of the keyboard.", "The sound is great and it's fast.", "I had a number of updates to do and customization.", "The laptop is beautiful, not extremely light but thin enough and wide screen with a full keyboard.", "The touch screen response is fast and it picks up bluetooth and wifi FAST.", "Microsoft Office is a 30 day trial, a number of games and apps are already preloaded.", "It's exactly like the picture and I AM SATISFIED."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['keyboard design_features', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop operation_performance', 'positive'], ['display design_features', 'positive'], ['display operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['software miscellaneous', '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": ["The Dell is quick enough, sturdy, not good with finger prints.", "It does what it advertises.", "Price is great, wish it didn't have Windows 8, but that is an opinion.", "I would recommend it, for anybody needing a reliable simple laptop."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'conflict'], ['laptop general', 'positive'], ['laptop price', '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": ["Laptop is advertised as a 15\" but the casing looks like that of a 17\".", "This laptop is very large and barely fits in any carrying cases.", "Peformance is good for the price.", "If you're not wanting to be mobile, this is a good laptop to sit on a desk."], "output": "[['laptop design_features', 'negative'], ['laptop portability', 'negative'], ['laptop operation_performance', 'positive'], ['laptop price', '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": ["The worst computer I have ever laid my eyes upon.", "Firstly, it has no leds to let you know what is going on, no cap lock, no hard drive indicator, nothing.", "Ok, one light to let you know if the damn thing is on.", "The biggie though is the fact that it disconnects from the internet whenever if feels like it, even when the strength bar is filled.", "Also, when you try to download a large file, like a video, it will start out normally, downloading at around 600kb/sec and over the course of a couple of minutes will slow waaaaaay down to around 20kb/sec, making a download of a couple minutes into several hours making it worthless.", "Get a probook instead."], "output": "[['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop connectivity', 'negative'], ['laptop operation_performance', '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": ["This is without a doubt the worst laptop I've ever had.", "I wavered between another Toshiba and this and ended up choosing this and I'm so sorry I did.", "And of course, the return window closed last week so now, I'm stuck with it.", "I will never buy another Lenovo anything!", "Unless you plan on using a mouse with this laptop, don't buy this.", "The touchpad hasn't worked correctly since delivery though in the beginning, I thought perhaps it was just a bit of a quirk since most touchpads I've worked with have some inherent oddities.", "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.", "Today, it hasn't worked at all more than it has.", "The laptop has 4G and a 2.9g processor and it's slower than the four year old Toshiba I replaced.", "It hangs, freezes and just isn't working properly.", "I have now been waiting almost a minute for the computer management window to open!", "Though I don't have much installed, I only have 96 of the 278G left!", "I have no idea what's taking up all the room, it doesn't make sense.", "Most of my things are stored in the cloud.", "I could go on and on, but suffice it to say, if you want to spend $400+ on a laptop, don't buy this one!", "It's definitely not worth the money."], "output": "[['laptop general', 'negative'], ['company general', 'negative'], ['mouse general', 'negative'], ['mouse operation_performance', 'negative'], ['mouse quality', 'negative'], ['mouse usability', 'negative'], ['laptop operation_performance', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a nicely sized laptop with lots of processing power and long battery life.", "Love it so far."], "output": "[['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['battery 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": ["Small and light weight.", "Speakers too small to be of any real use.", "Keyboard good sized and wasy to use.", "I like it!"], "output": "[['laptop design_features', 'positive'], ['multimedia_devices design_features', 'negative'], ['multimedia_devices usability', 'negative'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this computer, this is my first ever Mac (I'm 21) and it took a little while to switch over from the OS I was used to, but it was a fast learning curve.", "The resolution is gorgeous, the computer is light, it does everything I need and the interface is pretty intuitive."], "output": "[['laptop general', 'positive'], ['display quality', 'positive'], ['laptop design_features', 'positive'], ['os 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 lap top is good so far.", "It is quiet runs smoothly.", "I really like the video option on it, I stream movies on Amazon Prime and Netflix and there is no lag.", "Actually streams better than my regular desk top computer.", "The only negative would be that it gets pretty warm sitting on my lap for very long, but that is pretty much standard for all lop tops I think.", "Now I lay a pillow on my lap first.", "Problem solved."], "output": "[['laptop general', 'positive'], ['laptop quality', 'conflict'], ['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": ["BOUGHT FROM WAL-MART, I BELIEVE THAT THIS LAPTOP WAS A REPAIRED ITEM.", "THIS LAPTOP WAS BAD FROM THE FIRST DAY OF USE----BROUGHT IT BACK TO STORE FOR RETURN OF MONEY.", "NOW AM VERY APREHENSIVE ABOUT TOSHIBA LAPTOPS.", "WILL NOT EVERY BUY ANOTHER--------LOU"], "output": "[['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": ["little short on RAM but you get what you pay for.", "the hinge design forced you to place various connections all around the computer, left right and front.", "the headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic, not to mention the laptop was designed for right handed person.", "Cords coming out the right for power plus cords coming out front for headphones/mic plus network connection on left make for a very messy setup with cords going every direction.", "I love windows 7 but i can't give Toshiba any credit for that, unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time."], "output": "[['memory design_features', 'neutral'], ['laptop design_features', 'negative'], ['laptop usability', 'negative'], ['ports design_features', 'negative'], ['mouse usability', 'negative'], ['os general', 'positive'], ['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": ["Probably as good as you can get in a netbook, does everything I ask for and has some very good unexpected pluses.", "Has met or exceeded my needs for a compact travel device."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This MacBook is an outstanding product with great value.", "Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar- cannot be beat.", "Suffice it to say, my MacBook Pro keeps me going with its long battery life and blazing speed.", "It does run a little warm but that is a negligible concern."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['support quality', 'positive'], ['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['laptop 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": ["HP Pavilion DV9000 Notebook PC      When I first got this computer, it really rocked.", "But as time went on I found it almost impossible to keep the thing on-line through wi-fi.", "Eventually the screen went blank and the computer would not turn on.", "HP said it was out of warranty.", "Guess I'll stay away from HP."], "output": "[['laptop general', 'negative'], ['laptop connectivity', 'negative'], ['display operation_performance', 'negative'], ['laptop 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": ["I've only had this computer for a few days an I already don't like it.", "The battery life is a joke and it's causing other problems.", "I will be returning it.", "If people are writing bad reviews about this laptop then believe what they say."], "output": "[['laptop general', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop meets every expectation and Windows 7 is great!", "It's fast, it's easy easy easy to set up, easy to hook to my wireless network.", "It's even easy to hook up to other wireless networks.", "The battery doesn't last long but I'm sure an upgrade battery would solve that problem.", "I don't use my laptop in a way though that needs a long battery life so it's perfect for me."], "output": "[['laptop general', 'positive'], ['os general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', '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": ["Since I keyboard over 100 wpm, I look for a unit that has a comfortble keyboard (no keys sticking or lagging, strange configuration of \"extra key\", etc.", "I love the keyboard.", "Most laptops and notebooks are difficult to key on.", "This unit is not."], "output": "[['keyboard usability', '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": ["Outstanding laptop and very well built.", "This unit will replace my old desktop.", "The retina display is fantastic."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['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": ["I shopped around before buying.", "I wasn't really sure I wanted to spend that kind of money!", "It Was a great deal after all.", "I LOVE it!", "I should have bought one a long time ago.", "Not enough time for me to give it 5 stars!"], "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": ["The laptop itself is very good, it could be better, but not bad at all for it's price point.", "It does everything I need.", "The big deal with this was Windows 7.", "I had searched everywhere for a Windows 7 laptop, and all I could find was that awful Windows 8.", "When I saw this I grabbed it.", "It has met all my needs."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['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": ["My MacBook is probably the best investment I have ever made.", "I have had it for almost four years now and I have only had a few problems with it.", "The most recent being that my Safari internet browser is freaking out on me, but I have just been using firefox instead.", "If you had PC for four years I can almost gaurentee that something would of gone wrong by now, maybe even forcing you to replace your entire computer.", "I love this computer.", "Its small enough where I can take it pretty much anywhere, but still has a big enough screen to get everything done.", "Everything is so easy to use, Mac software is just so much simpler than Microsoft software.", "The only thing that I don't like about my mac is that sometimes there are programs that I want to be able to run and I am not able to.", "Games being the main issue.", "It drives me crazy when I want to download a game or something of that nature and I can't play it because its not compatable with the software.", "I feel that enough people have Macs these days and that companies need to start making things more compatable than they used to be.", "Other than that I don't have one complaint in the world!"], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['software operation_performance', 'negative'], ['display design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop usability', 'positive'], ['software usability', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Hands down one of my best and most used purchases thus far.", "The Mid-2014 MacBook Pro does no disappoint...", "Retina screen, solid build quality, weight, fast processor and the reliability of the Apple brand.", "Cons:Honestly zero con's ... as a Windows PC user the switch over was seamlessly,  I run Parallel when I need Windows.", "All my devices work flawlessly."], "output": "[['laptop general', 'positive'], ['display quality', 'positive'], ['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['company 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": ["CRASHED only 2 days from getting it!!!!", "Says it is failing hard drive.", "Going to see what lenovo does.", "I should have bought something better."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative'], ['hard_disc 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": ["Strong performance in this device makes use of fun and a strong sense of the era of speed", "This device serves all modern requirements is a very strong game and is very useful for designers.", "Enjoy that Toshib force and durability unparalleled"], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I live in Jamaica and bought this online and my husband took it down for me.", "So far I do not have any trouble with it other than the picture quality is a bit poor.", "My son saw this laptop online and told be about it and i thought it was a good deal and bought it.", "I have had it over a month now and it works just fine.", "This laptop suits my needs: as i am currently studying online and just need a computer for that purpose.", "My daughter uses it for college too and it works great for both of us.", "So i gave this 4 stars but only because of the poor picture quality, other than that it is a great buy!"], "output": "[['laptop general', 'positive'], ['display quality', 'negative'], ['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": ["Windows Vista makes this computer almost unusable for online service.", "I've tried going back to XL but there still problems.", "The technical service for dell is so 3rd world it might as well not even bother.", "Just a bunch of idiots who's English as a 5th language is forced at best.", "I'm all for saving money but Dell needs to step it up."], "output": "[['os general', 'negative'], ['laptop usability', 'negative'], ['support quality', '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 purchased two laptops (for my husband and 16 year old daughter).", "My husband uses it mostly for games, email and music.", "My daughter uses it for games, email, facebook, pictures and music.", "They were able to set-up with labtops themselves within a few minutes.", "It works fine with our wireless and they've had not problems.", "It's a great product for a great price!"], "output": "[['laptop usability', 'positive'], ['laptop connectivity', 'positive'], ['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": ["This just keeps having it's hard drive replaced!", "Acer won't replace the laptop.", "the manufacturer's warranty only covers replacement/repair of parts.", "This thing is a lemon."], "output": "[['hard_disc quality', 'negative'], ['support quality', 'negative'], ['warranty general', '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": ["Screen is awesome, battery life is good.", "Really like the textured surface which shows no fingerprints.", "Good laptop for the money.", "Speakers don't get that loud, but good enough."], "output": "[['display general', 'positive'], ['battery operation_performance', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['laptop price', 'neutral'], ['multimedia_devices quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I purchased this laptop while on a business trip to keep up with my email.", "I had left my regular laptop at home and needed something to use while out of town .", "The price and features more than met my needs.", "I love WIndows 7 which is a vast improvment over Vista.", "The feature are good enough for what I need."], "output": "[['laptop price', 'positive'], ['laptop design_features', 'positive'], ['os 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": ["Took it back as it was defective.", "Page just disapeared after you got yahoo or downloaded something.", "Couldn't keep a page up you were working on!"], "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": ["Can not believe the price!", "Amazing computer,  perfect for school."], "output": "[['laptop price', 'positive'], ['laptop 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": ["This laptop leaves alot to be desired, I have had it only 5 months and have had to send it away to be repaired twice...", "I bought it from HSN because it was \"bundled\" with extra software, but as it turns out, that software just crashes it more often.....", "If you shop around in the current market you can find a much better deal.", "The repairs were made quickly though I must say, however the second time they shipped it to the incorrect address and it took nearly a week for them to get it to me."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['software general', 'negative'], ['laptop design_features', 'neutral'], ['laptop operation_performance', 'negative'], ['support quality', 'positive'], ['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've owned every \"Pro\" model Apple laptop for the last 8 years, this is BY FAR the WORST one I've ever had.", "It crashes, and when it goes flat, it just DIES (like a PC, maybe worse) and I loose all my open documents!", "I Hate it!"], "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 had this computer for one month and had to send it in for repair.", "Got the computer back a month later and it was still broken sent it out again and they repaired it.", "3 weeks went by and the computer keeps crashing and will not open any applications.", "DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND THE WARRANTY COMPANY IS HORRIBLE.", "YOU WILL NOT BE ABLE TO TALK TO AN AMERICAN WARRANTY SERVICE IS OUT OF COUNTRY.", "COMPUTER HAS BEEN AT SERVICE FACILITY MORE THAN IN MY HANDS."], "output": "[['laptop quality', 'negative'], ['support quality', '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": ["This is a great home computer.", "It is very, very quiet.", "The only reason I didn't give it a 5 star is, I feel I have to reach so far to type on the key board.", "You also have to press firmly on the keys.", "Otherwise this is a great computer great prices."], "output": "[['laptop miscellaneous', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['keyboard usability', 'negative'], ['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": ["The So called laptop Runs to Slow and I hate it!", "Do not\u00a0 buy it!", "It is the worst laptop ever"], "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": ["STOPPED BOOTING UP less than a week after my one-year warranty was up.", "Toshiba knows there is a manufacturing defect but will not acknowledge it.", "Summary: After doing some investigation on the web, I have found that Toshiba NB205s are not chronically not booting.", "Apparently there is a manufacturing defect, something with the amount of thermal paste.", "TOSHIBA WILL NOT ACKNOWLEDGE THIS PROBLEM.", "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.", "I loved the netbook (minus the fact that it was windows OS) until this started happening.", "But if you can't make your product last more than a year, you will not get my business again."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['support price', 'negative'], ['os general', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this for my daughter to use for school and homework, it's not a \"fast\" computer, but it's great for what she needs it for and very light weight!", "Love the price too!"], "output": "[['laptop operation_performance', 'neutral'], ['laptop design_features', 'positive'], ['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": ["not a good computer at all.", "We returned two days later.", "They were excellent to handle our return and post our refund back into our account the next day.", "Thank you!"], "output": "[['laptop general', 'negative'], ['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": ["This is my first personal Satellite purchase but had very good experience through previous Satellite work issued laptops.", "I mainly use it for email, internet, and managing personal files (pics, vids, etc.).", "I occassionaly use it for work via VPN and it has not given me any problems.", "The screen is nice and the images comes very clear, the keyboard and the fit just feels right.", "I consider myself an average user and this computer serves my need.", "The price is another driving influence that made me purchase this laptop.", "I'ts nice to have the higher-end laptops, but this fits my budget and the features I need.", "I normally dont participate in reviews/surveys but this laptop has not given me any problems and hope to share my thoughts...", "another satisfied customer."], "output": "[['laptop miscellaneous', 'positive'], ['display general', 'positive'], ['display quality', 'positive'], ['keyboard quality', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive'], ['laptop price', '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 bought this laptop Was the worst Laptop I've ever bought.", "I spent alot of money on this product and its been a nightmare.", "And having to deal with the company has been a even worse nightmare.", "I sent it to them to fix in perfect condition but for what was wrong with it.", "They sent it back with a huge crack in it and it still didn't work.", "And that was the fourth time ive sent it to them to get fixed.", "Its been a year and am still waiting to see what there going to do about my laptop.", "So if anyones looking to buy a computer or laptop you should stay far far away from any that have the name TOSHIBA on it..."], "output": "[['laptop general', 'negative'], ['laptop price', '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": ["I just got this laptop for college, and so far I am very happy with it.", "I really wanted a Mac over a pc because I used a Mac in high school.", "It is so much easier to use"], "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": ["Terrific value for the money.", "Love the key layout and the built-in mouse pad - all work well and are properly sized.", "Was easy to get up and running and comes with Windows 7 Pro (my favorite operating system so far, do not  like Windows 8).", "Highly recommended."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['keyboard design_features', 'positive'], ['mouse design_features', 'positive'], ['keyboard operation_performance', 'positive'], ['mouse operation_performance', 'positive'], ['laptop usability', '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 paid for extra memory and the 17-inch screen, as well as the top of the line DVD and CD burners.", "I custom ordered the machine from HP and could NOT understand the techie due to his accent.", "Finally was able to reach a young lady in California and ordered the machine and was subsequently given a delivery date.", "The leather carrying case, keyboard and mouse arrived in two days from Memphis warehouse.", "The computer was two weeks late in delivery because HP forgot to complete the required import paperwork.", "My laptop cost approximately $2,300 and DIED after only 2-years, 10-months and 18-days of use.", "Although my model was listed as recalled, HP denied my claim.", "Accordingly, I have decided to NEVER purchase another HP product (my five year old Compaq) lasted 5-years before the hard drive crashed.", "I visited the Apple Store and was impressed with the 17-inch MacBook Pro.", "The quality, engineering design and warranty are superior--covers damage from dropping the laptop.", "If the number of patrons in the Apple store are any indication, HP and other PC manufacturers need to take note."], "output": "[['support quality', 'negative'], ['shipping quality', 'negative'], ['laptop quality', 'negative'], ['laptop price', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I received this laptop as a gift and let me just tell you that its the worst.", "At first it worked well for a month or so then the system board failed and I send it in to toshiba some complaints and three weeks later I then receive my laptop back only to discover that it still has the same problem so now I have to send it back again to get it fixed again.", "This computer doesn't do that well with certain games it can't play some and it becomes too hot while playing games.", "Oh and if thats not bad enough it doesn't come with a recovery cd so you can make one if you know how to or buy one if you buy it the cost is $25 for two cds.", "the whole experiece is horrible so save up and buy a better laptop."], "output": "[['laptop general', 'negative'], ['motherboard quality', 'negative'], ['support quality', 'negative'], ['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 love to use it it is esay and light.", "this laptop is durable and it is easy to travel with.", "i needed one to be able to carry to work everyday and this one seems to fit all of the criteria.", "this laptop is great for work and doing my pictures.", "i am a huge computer person i love anykind of computer that works well, but when i got this one i was so happy with the way it works and how it runs its amazing.", "the programs are esay to use and are quick to process this computer works like a charm.", "i can use it for all of my needs.", "i give this laptop a five star review i love it and it has done chams for me.", "if this computer every breaks down on me i will most definatly get the same one again.", "i think that anyone looking for a good durrable laptop then this is the way to go."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop portability', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['software usability', 'positive'], ['software 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 mac is great!", "lightweight, long battery life, excellent transition from PC;"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['battery 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": ["All I can say is W-O-W.", "This laptop is insane!!!", "It's so nice to look at and the keys are easy to type with.", "I bought a protector for my key pad and it works great :)", "This is definitely a computer worth the money;", "The mouse is a little bit different than what you're used to though- it has one big flat panel and one full bar (instead of two separate ones) to click with- but you get used to it quite quickly.", "AND the best part is that it even comes with a free printer (when they have a certain promotion/offer going, of course)!", "Overall, this laptop is definitely a keeper with its simple yet stylish design and its array of fantastic colors to choose from.", "The Apple team also assists you very nicely when choosing which computer is right for you :)", "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.", "DEFINITELY recommended!!!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['keyboard usability', 'positive'], ['keyboard operation_performance', 'positive'], ['laptop price', 'positive'], ['mouse design_features', 'neutral'], ['mouse usability', 'neutral'], ['laptop miscellaneous', 'positive'], ['support quality', '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": ["Very good performer for the price.", "Not blazing fast, but quick enough.", "One really nice thing about Lenovo laptops is that they are not cluttered with a bunch or trial software.", "The desktop was clean once I got it up and running.", "Battery life is above average, and it charges quickly.", "Keyboard is sturdy.", "The touch pad takes a little getting used to as the \"click\" buttons are on top instead of the bottom.", "I will be considering Lenovo for all future laptop purchases."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['laptop design_features', 'positive'], ['software miscellaneous', 'positive'], ['company general', 'positive'], ['battery operation_performance', 'positive'], ['keyboard quality', 'positive'], ['mouse design_features', 'neutral'], ['mouse usability', '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": ["The PC is works well with a good battery and a power cable, and has a web cam.", "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 operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'conflict'], ['laptop usability', 'negative'], ['laptop connectivity', 'negative'], ['laptop general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love my new ThinkPad!", "It gives me everything I need from a computer and with the long lasting battery, it also gives me mobility.", "I can use it anywhere.", "It was a great purchase."], "output": "[['laptop general', 'positive'], ['battery operation_performance', '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": ["This product was DOA.", "Fired up and worked for the first day and then the display died on my wife while she was taking a timed test.", "Would not recommend."], "output": "[['laptop quality', 'negative'], ['display 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": ["A good value on a quality product.", "Easy setup, and delivers all the functions we need."], "output": "[['laptop quality', 'positive'], ['laptop price', 'positive'], ['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba laptop was a great purchase.", "The price was very good, and the product is top quality.", "The delivery was fast, and I would not hesitate to purchase this laptop again."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'positive'], ['shipping 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 get giddy every time I use this thing.", "It is a thing of beauty and fast enough.", "What's fast enough?", "When you click and don't wait.", "Waiting is horrible, and not waiting is the best thing on earth.", "So yes, it is ridiculously fast.", "The battery will get you from LA to NY no problem."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i'm very happy,this laptop is beatifull, is'nt slow at all.", "but it doesn't have a cd unit, anyway the other thing is that the laptop does not have an ethernet port for cable connecting.", "just wifi....", "the screen is big, and everything was as described"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'conflict'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'negative'], ['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": ["As an owner of a Toshiba Satalite laptop computer things you should know before you buy.", "The Computer itself is a good product but the repair depot stinks.", "I have had to send in my laptop three times to get it fixed.", "Two of the times was in one month.", "I had in the past a Dell laptop and they sent me the items it needed or they sent a repair technician to my house to fix it.", "Toshiba does not send any one out unless you have paid extra to have the on site repair done.", "I would tell the technician I knew\u00a0exactly\u00a0what was wrong with it but they did not listen and I had to go through a bunch of junk to get them to tell me I needed to send the computer in.", "This computer that I have has had issues with the keyboard where it lost half the keyboard functions.", "As well as having the plug in the computer come loose.", "This has happened three times so far.", "Two times with in one month.", "I am not one to throw things like this around but it is a laptop so\u00a0carrying\u00a0it around does seem to mean it will be jerked possibly a little, while driving a car and carrying it into where ever you are using it.", "So having the AC plug go out on me and get lose or I could actually here it inside my computer on two of the three times is not good.", "It still seems to be a little lose now but so far seems to be hanging in there."], "output": "[['laptop general', 'positive'], ['support quality', 'negative'], ['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative'], ['power_supply 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 Toshiba Satellite laptop is  DESIGNED  to fail !", "The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues.", "Toshiba is aware of the issue but unless the extended warrenty is bought Toshiba will do nothing about it.", "I actually contact Toshiba before I started having problem and was given run around after I supplied serial number in order to delay me sending in laptop until after warrenty expired.", "Then after paying for it to be examined I was told it was same problem cited on website but I'd have to pay anyways since it was past warrenty."], "output": "[['laptop general', 'negative'], ['motherboard quality', 'negative'], ['power_supply quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am overall very pleased with my toshiba satellite, I like the extra features, I love the windows 7 home premium.", "The battery life has not decreased since I bought it, so i'm thrilled with that.", "I also love the design, the looks, the feel, and the my toshiba feature is wonderfull.", "I would easly reccomend this laptop to a friend."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['os general', 'positive'], ['battery operation_performance', 'positive'], ['battery quality', '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": ["Not working = bad", "I spent 2200 dollars on a \"top of the line laptop\".", "I got the blue screen of death the first month I got it.", "1) Payed $2200 for a \"premium\" laptop", "2) Blue screen first month", "3) Horrible customer support-they lost my laptop for a month-got it back 3 months later", "4) Laptop still did not work, blue screen within a week...", "5) Cut my losses and sold it for parts", "Do yourself a favor, this is not a fake story trying to hurt alienware...", "this company truely does make horrible products and doesnt seem to because they are certain things like this \"never\" happen...", "do a quick search on the internet see if im the only one."], "output": "[['laptop operation_performance', 'negative'], ['laptop price', 'negative'], ['laptop quality', 'negative'], ['support 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 a great value for the money.", "We purchased this as a back up computer after our more expensive HP needed to be repaired.", "This is a great computer.", "We haven't had any problems with it at all.", "The body is a bit cheaply made so it will be interesting to see how long it holds up.", "Overall though, for the money spent it's a great deal."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['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": ["previous laptops were pc's, still have them, but the mac osx is a clean and smooth operating system.", "still testing the battery life as i thought it would be better, but am very happy with the upgrade."], "output": "[['os design_features', 'positive'], ['os operation_performance', 'positive'], ['battery operation_performance', '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": ["A great computer for light home use and business use.", "Might not make the avid gamer happy but I don't really think that is what this computer is designed for.", "Crisp screen, great battery life, and plenty of storage.", "Very happy."], "output": "[['laptop miscellaneous', 'positive'], ['display quality', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc 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": ["LOOKS LIKE THIS DELL IS A PIECE OF CRAP.", "IT DOES NOT TURN ON - IF I TAKE THE BATTERY OUT IT MIGHT WORK, NOT SURE IF IT'S A BAD BATTERY OR COMPUTER!", "DO NOT RECOMMEND!"], "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": ["Excellent performance, especially given its price point.", "It's performing very well after a week's use and I don't anticipate any trouble given my past experiences with Dell pcs.", "The screen is wide and provides excellent clarity.", "In addition to some usage on the road, this is also my desktop unit.", "It is not a small, compact laptop, but I won't be traveling via air often, so its size and weight is not a problem for me.", "This was recommended to me by an IT support specialist in the local school district.", "I can appreciate why she recommended it!", "If you are undecided between a desktop or laptop pc, I strongly recommend this pc as a solution."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'positive'], ['company general', 'positive'], ['display design_features', 'positive'], ['display quality', 'positive'], ['laptop design_features', 'neutral'], ['laptop portability', '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": ["Love everything about this laptop!", "Sound, quality and touchscreen are awesome!", "I would definitely recommend this!!"], "output": "[['laptop general', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop quality', 'positive'], ['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": ["dell is a decently made pc.", "although its windows vista compared to windows xp sucks.", "the graphics are awful and the wireless switch it at the top rather than the side which I am used to it being on the side.", "with the switch being at the top you need to memorize the key combination rather than just flicking a switch.", "so in a brief summary i would have to say that i would not recommend dell vostro 1000 to anyone due to it being a down right awful setup so in my opinion you should steer clear of them if you want a decent laptop."], "output": "[['laptop general', 'negative'], ['os general', 'negative'], ['graphics general', 'negative'], ['laptop design_features', '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": ["This laptop is nice.", "It has a decent feel to it, sharp display and is fast enough.", "The biggest problem I have is the right side and top of the touchpad is unresponsive.", "So frustrating!!", "I have updated the drivers and tweeked every feature available, but nothing has helped.", "Also, the touchpad is almost 'sticky', which kind of defeats the purpose of a touchpad.", "I would love to keep this laptop, but will be sending it back and looking for a different brand.", "No Lenovo for me."], "output": "[['laptop quality', 'neutral'], ['display quality', 'positive'], ['laptop operation_performance', 'positive'], ['mouse operation_performance', 'negative'], ['mouse usability', '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": ["lots of preloaded software.", "the only problem is that i had to add 1 gb RAM, the computer was kinda slow.", "tosiba has a good reputation, my llast computer was an acer.", "this is starting off good."], "output": "[['laptop design_features', 'positive'], ['memory design_features', 'negative'], ['laptop operation_performance', 'negative'], ['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": ["Great Laptop for the price, works well with action pack games.", "The only thing that I have, is the key broad is a little dark to see the letters, would help if it was a little lighter then it is.", "but other then that I would give this product a 4 in hafe stars."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop miscellaneous', 'positive'], ['keyboard design_features', 'negative'], ['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": ["At first when I got this product, I loved it.", "The computer itself was fast, ran smoothly, and had no problems.", "Then, within 5 months, the charger crapped out on me.", "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.", "2 months later, the battery went.", "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.", "THEN, one month after the warranty expired, the replacement charger went.", "I had to pay $100 for a universal charger for this cheap $300 laptop.", "Not worth it one bit.", "The people are frustrating to work with, the product itself is very cheaply made, and the accessories are less than satisfactory.", "Also, my sister got the exact same laptop (since they were so cheap) and after 8 months, the screen split in half just from everyday use.", "Apparently under the screen there are 2 little screws and when the screen gets moved back and forth, they come loose.", "And it is impossible to get them back in."], "output": "[['laptop operation_performance', 'positive'], ['power_supply quality', 'negative'], ['support quality', 'negative'], ['battery quality', 'negative'], ['battery operation_performance', 'negative'], ['power_supply miscellaneous', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['display quality', 'negative'], ['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": ["Been using Lenovo ThinkPad Edge laptops in our business for several years now and have no complaints about any of them.", "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.", "GENERAL, a quality laptop.", "The Lenovo software that comes preinstalled may qualify as bloatware but is easily removed if you're not interested in it."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['software general', 'neutral'], ['laptop design_features', 'neutral'], ['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": ["All the sturdy and substantial feel you expect from a Thinkpad.", "Average performance on almost every benchmark but priced accordingly.", "Below average on the w-fi adapter which I'm still trying to get to the bottom of.", "If the wi-fi adapter will not support duplex operation (still trying to get to the bottom of that) that's a noticeable drawback I'll be grousing about for the entire time I use it."], "output": "[['laptop quality', 'positive'], ['laptop operation_performance', 'neutral'], ['laptop price', 'positive'], ['laptop connectivity', 'negative'], ['laptop general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I absolutely love my mac!", "I can't imagine my life without it anymore!", "It's perfect for everything and runs faster than an average pc!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've haven't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off.", "Apparently they are defective since they are not securely attached.", "I can barely use any usb devices because they will not stay connected properly.", "I called Toshiba and they want me to be without my laptop for about two weeks while they look at the problem.", "I think I might rather suffer for something that is simple to fix in my opinion."], "output": "[['laptop general', 'positive'], ['ports quality', 'negative'], ['laptop connectivity', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is good for 10 days then it sucks for the rest of your life.", "Don't waste their money, save it and but a mac.", "You will regret it if you buy any dell.", "Dell sucks"], "output": "[['laptop quality', '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": ["This laptop is a complete cheap junk.", "By just looking at it you will realize it's crap.", "It's not what you pay for.", "The case is made from cheap plastic.", "In the description it said there is Bluetooth but no there isn't.", "I'm warning you, You're wasting your money on this"], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop price', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Our Apple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook and has become such an integral part of completing our daily needs and social networking.", "I do everything on this computer - check email, facebook, shop, check blogs, write papers, listen to music, and we even watch all of our movies on it since we do not have a tv.", "It pretty much does everything we could ever need, and looks great to boot.", "Apple is always great about the aesthetics of things, they always come up with good looking products.", "It didn't take me long to get switched over to the Mac computer programs and navigation - it's been just fine and like the way this laptop functions much better.", "So, if you're thinking of a laptop, I would heartily recommend theApple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook for all your needs!", "It's great and we will always stick with Apple computers, we have been so happy with them."], "output": "[['laptop miscellaneous', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive'], ['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": ["been a PC user for many, many years.", "Let me tell you, this machine is great.", "Purchased for development purposes, but it has turned into my everyday laptop as well for surfing, e-mail, etc.", "I thought learning the Mac OS would be hard, but it is easily picked up if you are familiar with a PC.", "The most amazing part to me as a PC user is the startup and shutdown times - and the fact that you very rarely have to restart the thing.", "The only time I have restarted is during system updates.", "great machine if you want to drop the cash for one."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['os usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Ok, this is probably the best laptop series ever devised by Apple.", "The case is carved out of a single block of aluminum.", "Although I opted for the lowest end MacBook Pro, this thing holds its own.", "The processor screams, and because of the unique way that Apple OSX 16 functions, most of the graphics are routed through the hardware rather than the software.", "That is how it is able to function better than any other PC.", "I have recommended this laptop to everyone I know who is buying one.", "I like it so much, I bought another just for my wife."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['cpu operation_performance', 'positive'], ['os operation_performance', 'positive'], ['graphics 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": ["Being a PC user my whole life....", "This computer is absolutely AMAZING!!!", "10 plus hours of battery...", "super fast processor and really nice graphics card..", "and plenty of storage with 250 gb(though I will upgrade this and the ram..)", "This computer is really fast and I'm shocked as to how easy it is to get used to...", "I've only had mine a day but I'm already used to it...", "MACS ARE AMAZING!!!", "GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING!!!"], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['graphics general', 'positive'], ['hard_disc design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', '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": ["This laptop is absolutely horrible.", "I bought it simply for Excel on Windows for work since I have a Macbook Air and literally the thing freezes and lags opening Excel or my web browser.", "There is a chance mine is defective but regardless I'm not going to try another one this is a terrible product.", "I'd much rather bite the bullet and spend a little more for a product that actually meets minimum computing expectations for 2014.", "I appreciate the effort to hit affordable pricing Dell but just not worth it."], "output": "[['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['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": ["Supper east to use.", "Retina display is beautiful.", "Also very quick laptop!", "Con: Hate that it has no disk drive."], "output": "[['laptop usability', 'positive'], ['display general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["works good but doesn't seem like it's made sturdy.", "kinda to light and plastic feeling.", "i have square trade for it just in case it breaks"], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'negative'], ['laptop design_features', '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": ["it was easy to set up.", "I like the number pad for work so that's nice"], "output": "[['laptop usability', 'positive'], ['keyboard design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm glad I made the choice to switch and buy this MAC.", "The benefits were immediate!", "Awesome graphics!", "Applications respond immediately (not like the tired MS applications).", "I can actually get work done with this MAC, and not fight with it like my tired old PC laptop.", "The magnetic plug-in power charging power cord is great (I even put it to the test by accident)- excellent innovation!", "The Apple applications (ex.iPhoto) are fun, easy, and really cool to use (unlike the competition)!", "After doing CAD work all day at work, using a higher end PC, I couldn't come home and settle for the use of a lower end computer.", "This laptop rocks (only wish it could run SolidWorks CAD - which Apple doesn't support)!", "I've saved a lot of time and headaches so far, using my new MacBook Pro.", "I am definitely sold, and not going back to PCs for home use!"], "output": "[['laptop general', 'positive'], ['graphics general', 'positive'], ['software operation_performance', 'positive'], ['software usability', 'positive'], ['power_supply design_features', 'positive'], ['laptop usability', 'conflict'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba laptop I am using is easier to use than most I have tried.", "The games included are very good games.", "I am finding my way around this laptop better than my last one.", "I would highly recommend this one to my friends"], "output": "[['laptop usability', 'positive'], ['software general', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I saved for this laptop for 3 months and I can tell you personally it was worth the wait.", "The display on this computer is the best I've seen in a very long time, the battery life is very long and very convienent.", "A little pricey but it is well, well worth it.", "I've been a PC user and I just finally switched and I am never going back.", "It is amazing."], "output": "[['laptop general', 'positive'], ['display general', 'positive'], ['battery operation_performance', 'positive'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I tell everyone that I know, friends, family and enemies this is the absolute worst computer i have ever used.", "The computer blinks it shuts off at will.", "The letter A stopped working after the first week.", "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.", "not the day received.", "so the fact that the computer does not work on the 24 twenty fourth day is my fault.", "they have done absolutely nothing to fix the computer problem.", "they have not sent a new one nor called.", "i spent eight hundred dollars from a giant paper weight that looks good on a bus.", "then on top of it all their cusromer service center is in the middle east.", "So when you do call to complain about the hunk of metal you get the joy of speaking with a bunch of people you cant understand.", "Then to make matters worst, there is noone that they can transfer you to.", "its sad because their commercials are great."], "output": "[['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative'], ['support quality', 'negative'], ['laptop quality', 'negative'], ['laptop design_features', 'neutral'], ['laptop price', 'negative'], ['support 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": ["Great laptop from Apple!", "Apple is unrivaled in terms of build quality and functionality.", "The retina screen is absolutely beautiful and the touchpad is the best touchpad to date.", "The pair allow for seamless navigation throughout the whole interface.", "Battery life is astonishing given the processing power and high resolution display.", "I can easily get 10 hours out of a full charge.", "Also, I find OS X much more simple and easy to use than Windows.", "Overall, a high quality laptop and a great value considering all this computer has to offer."], "output": "[['laptop general', 'positive'], ['company general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['display general', 'positive'], ['mouse general', 'positive'], ['laptop usability', 'positive'], ['battery operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['display quality', 'positive'], ['os usability', '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": ["One of the very few laptops still available with Win 7 Pro, multiple USB ports, and a DVD read/write drive.", "Only drawback is no LED to show when the hard drive is being accessed.", "Not a necessity, but something I've come to expect.", "Does what I need it to do and the price was right!"], "output": "[['os general', 'positive'], ['laptop design_features', 'conflict'], ['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": ["Was not happy with one of the programs on it.", "It was not clear that the Microsoft Student Edition that was loaded on the computer, was a six month trial.", "Also, the extended warranty was a problem.", "The extended warranty for the $4000 and up computers was the only one available for purchase on the drop drown menu.", "Overall the computer is very easy to use, the screen is perfect, great computer, my daughter loves."], "output": "[['software general', 'negative'], ['software miscellaneous', 'negative'], ['warranty general', 'negative'], ['laptop usability', 'positive'], ['display 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": ["From the moment I opened the box to the present it has been a great joy.", "It is always reliable, never bugged and responds well.", "I love the operating system and the preloaded software."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['os general', 'positive'], ['software general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["beautifully done, the computer is amazingly faster compared to other version of macbook pro i have had in the past.", "I am also glad it doesnt get too hot when left on for an extended period of time.", "The battery life is good, even with using high profile software like Sibelius 7 for a good half of the day.", "Overall, the performance and specs are definitely great for the price compared to other laptop of the same price, which make this Apple purchase a worthwhile one."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'positive'], ['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": ["In all my life i have never come across a computer as slow as this one, it cant perform basic operations and is practically useless.", "I just received the laptop and if it runs like this already cant imagine how it would work in the next couple of weeks.", "It took almost 20 minutes to boot up.", "Please people dont make the same mistake i did.", "This is a complete waste of money, dont let the price fool you!"], "output": "[['laptop operation_performance', 'negative'], ['laptop general', 'negative'], ['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": ["Expensive but worth it.", "The display has a great resolution but have difficulty always seeing the small print.", "Haven't quite figured out how to make the font size larger overall.", "I'll keep trying however."], "output": "[['laptop price', 'negative'], ['laptop general', 'positive'], ['display quality', 'positive'], ['display usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["ouch.", "it stopped working 31 days after purchase.", "i just tried to restart it.", "i hope they can fix it somehow.", "it was slow and might be problematic.", "i would shop around for a better one."], "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": ["I bought it for my mom and she reports that the battery life lasts all day for her, it's very lightweight, and the response for the computing she's doing (Internet focused activity: mail, research, etc.) is excellent;", "she can't tell the difference between it and her regular desktop system.", "The overall build quality of the unit is excellent and she'd recommend it to anyone else looking for a netbook.", "If you're looking for something to fly through those massive spreadsheets or play a graphics-intensive game, you'd be better off getting a machine aimed at that segment of the market."], "output": "[['battery operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["From the second you open the box you will fall in love with this computer!", "The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly.", "The track pad to me is what really stands out though, you can do several different things with it just depending on how many fingers you use on the track pad, awesome thinking Apple!", "Have not yet needed any customer support with this yet so to me that is a great thing, which is leaps and bounds ahead of PC in my opinion.", "The OS is also very user friendly, even for those that switch from a PC, with a little practice you can take full advantage of this OS!", "Apple continues to shine and provide a much more enjoyable computer experience!"], "output": "[['laptop general', 'positive'], ['os operation_performance', 'positive'], ['os quality', 'positive'], ['mouse design_features', 'positive'], ['mouse usability', 'positive'], ['company general', 'positive'], ['os 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 have used a computer at work but having your own personal laptop is AWSOME!", "I am enjoying it and the quality it provides is great!", "Toshiba is a great brand, even though I haven't had it for a long time, I am very happy with it!"], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've always sworn by dell.", "My very first laptop was a dell and it never failed me.", "It was stubborn as hell, no amount of dust or slipping to the ground phased it.", "It worked super fast and got the job done.", "So with this new order, all the upgrades and windows 8 really caught my eye and I got this for the long haul.", "I am not ultra tech savvy but I can tell when it works slow!", "All I needed this for was to do some typing and simple internet browsing and maybe watching netflix here and there.", "I barely have any files or downloads and its almost impossible to get this thing to load.", "I know its not my internet connection because I have an HP as well and its like lightening even with the mass of data and info I have on it.", "I'm so disappointed."], "output": "[['company general', 'positive'], ['laptop design_features', 'positive'], ['os general', 'positive'], ['laptop operation_performance', 'negative'], ['laptop connectivity', '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": ["Never any doubt I would get a MacBook, just wasn't sure which one.", "After talking it over with the very knowledgeable sales associate, I chose the MacBook Pro over the white MacBook.", "The performance is awesome.", "I will never complain about the price since I believe you get what you pay for and my MacBook Pro was worth every dollar."], "output": "[['laptop operation_performance', 'positive'], ['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": ["Wifi card not working right out of the box.", "Dealing with HP support is a ridiculous and painful experience.", "I have spent more than 2.5 hours on the phone with them (over 4 different calls), only to get no where.", "Now I'm looking into the return process, which I'm sure will just be loads of fun, if my prior experience is any indication.", "Seriously, save yourself the hassle and purchase from a different company.", "Used to love HP products, but this has soured me on the whole company."], "output": "[['laptop connectivity', 'negative'], ['hardware quality', 'negative'], ['hardware operation_performance', 'negative'], ['support quality', '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 simply got tired of a bad computer like windows with its constant freezing and anti-virus.", "I got my MacBook Pro because I wanted to do all the stuff I need to do without worrying about the system quitting on me or freezing for a few minutes.", "Now that I have it I see that I really needed this for much more.", "I run Dreamweaver, Final Cut Pro 7, Photoshop, Safari, Firefox, MSN Messenger and a few other applications constantly at the same time.", "I have not had a problem with the applications quitting or freezing.", "I highly recommend this laptop to anybody that wants great performance from a laptop and would like to relax and not become enraged cursing the gods about to throw your laptop out the door.", "Take the simple, easy solution to your computer problems and stop waiting and smacking your old computer around."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['software 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": ["Great, quick laptop for the money.", "Right size and weight for portability.", "Battery life needs more life.", "Battery is not upgradable to a longer life battery."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['battery operation_performance', '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": ["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.", "It's priced very reasonable and works very well right out of the box.", "If you want a little more custom ability, drop a few bucks and upgrade to one of the more robust versions of Win 7 and grab a 2GB stick of memory to spice it all up a bit more.", "(I found a 2GB stick for a bit under $50)", "Nice and portable and definitely a decent enough system to keep you entertained while sitting in the airplane for a couple of hours, or at the hotel taking care of some last minute details and documents.", "My ONLY issues are:", "the screen/video resolution won't increase to a higher resolution then 1024 x 60", "That being said, it still runs video in full screen decently.", "The sound is a bit quiet if you're on a plane, this can easily be overcome with a decent pair of head phones.", "Bottom line, I doubt you'd be overly disappointed if you invest in this machine."], "output": "[['laptop miscellaneous', 'positive'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop portability', 'positive'], ['display quality', 'negative'], ['display operation_performance', 'neutral'], ['multimedia_devices 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": ["Great battery, speed, display.", "It WORKS!", "I always swore by PCs and would never consider a MAC.", "As it turns out, I just didn't know any better.", "My house is now 100% Macbook.", "The Macbook starts fast, doesn't crash, has a fantastic display, is small and light (I have the 13.3\" model), and isn't always complaining about updates, lost connections, errors, blue screens, etc.", "THIS is what a laptop is supposed to be."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['display general', 'positive'], ['laptop general', 'positive'], ['company 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": ["Biggest piece of junk I have ever purchased.", "Bought it for my wife as a birthday present having owned a Dell in the past which was a great computer.", "This clunker however stopped working after only two weeks of having it delivered.", "It would have a full charge yet would turn itself off for no explainable reason after being on for 5 minutes.", "I promptly sent it back for an exchange thinking this was just a bad one and surely the next one would be fine.", "The second one, after a little over a month, refused to turn on even with a full charge.", "And I have pictures on there with no way to retrieve them!", "What a lemon!!"], "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": ["I purchased my Macbook Pro Retina from my school since I had a student discount, but I would gladly purchase it from Amazon for full price again if I had too.", "The Retina is great, its amazingly fast when it boots up because of the SSD storage and the clarity of the screen is amazing as well.", "But if you buy this i would highly recommend that you buy a case and screen protector for this machine as they are known to be quite fragile."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['display quality', 'conflict'], ['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": ["Everything about this computer is easy to use.", "wonderful features.", "The only thing is that the battery won't last more than 1/2 an hour.", "It discharges too quickly.", "Kind of annoying, but I still love the laptop."], "output": "[['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['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": ["Fantastic machine, I have never believed the hype behind Apple products, but must admit I am now a Mac user and do not see myself going back.", "There is somewhat of a learning curve, but the operating system, and hardware of this Mac are great.", "More than enough for my use.", "The display is vibrant and clear, the keyboard is well designed and pleasant to type on;", "I even installed a windows partition to be able to run Windows software.", "Things just work, they are fluid, easy to use and understand, fast and work well."], "output": "[['company general', 'positive'], ['laptop usability', 'positive'], ['os general', 'positive'], ['hardware general', 'positive'], ['laptop general', 'positive'], ['display quality', 'positive'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The hdd has a scratching noise.", "The system sometimes lags a lot."], "output": "[['hard_disc 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": ["Overall for the money this is a good deal.", "There is no number pad to the right of the keyboard which is a bummer.", "The speakers are terrible and are probably the cheapest ones I have ever seen in a laptop so if your planning to listen to music I suggest you get something better.", "while the keyboard itself is alright, the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['keyboard design_features', 'negative'], ['multimedia_devices general', 'negative'], ['multimedia_devices quality', 'negative'], ['keyboard general', 'neutral'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Satisfy what I paid for it.", "Good monitor and performed well.", "I am using the external speaker- sound is good.", "Best thing is I can use existing 32 bit old programs.", "I recommend for word processing and internet users."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['display general', 'positive'], ['laptop operation_performance', 'positive'], ['multimedia_devices quality', '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 laptop was really good and it goes really fast just the way i thought it would of run.", "i would really recommend to any person out there to get this laptop cause its really worth it.", "and its really cheap and you wont regret buying it."], "output": "[['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": ["Great laptop.", "Fast.", "Works very well.", "Would purchase again."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's truly a great laptop for the price.", "I built my own gaming pc with a intel i5-4590 in it and a gtx 760 so I know what crazy performance on a computer can come to.", "However, this laptop far exceeded my expectations when I bought it for college, I only use Malwarebytes and Microsoft Security Essentials, run a virus scan maybe once a week and it has ran smoother than butter for the past two years.", "For $250, which is as much as my graphics card alone cost, this laptop is an incredible value.", "It is quite impressive at multitasking, which really surprised me.", "I can have tabs open while playing YouTube videos and it handles it impressively well.", "BUT I should tell you that this laptop does not have the best screen, it's certainly good enough for the average person, but if you're used to good screens this may bother you a bit, but it's certainly not unbearable by anyone's standards.", "If you want to game, this thing can handle League of Legends on medium-low settings, but I certainly wouldn't recommend it for gaming.", "Overall, a great laptop for simply doing basic things and web-browsing.", "Would definitely recommend for those who are \"technologically ignorant\""], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop miscellaneous', 'conflict'], ['laptop operation_performance', 'positive'], ['display 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": ["This is what I was looking for.", "It has a wide screen and it's easy to use.", "At my age, I need this kind of laptop."], "output": "[['laptop general', 'positive'], ['display 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": ["So far, so good!", "I've been impressed with the battery life and the performance for such a small amount of memory.", "I don't understand why only Windows 7 Starter is included."], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'neutral'], ['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 laptop is a great price and has a sleek look.", "Runs smooth and quick.", "I wish it had a webcam though, then it would be perfect!"], "output": "[['laptop price', 'positive'], ['laptop design_features', 'conflict'], ['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": ["I love this computer!", "However I am very upset that it doesn't have the superdrive built in!"], "output": "[['laptop general', 'positive'], ['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": ["I took 3-4 years researching brands and prices of laptops.", "I finally decided on this laptop because it was the right price for what I need it.", "I did think it had a camera because that was one of my requirements, but forgot to check in the specifications on this one before I purchased.", "So I'm disappointed in that because communicating with my relatives out of the area is a priority.", "The only thing I didn't learn in my research was the software I would need like privacy protection and warranty protection, in case it gets broken, or crashes etc.", "I don't have that additional money right now, and therefore wouldn't have purchased it at this time.", "Those things are very important - vital even!", "So think about factoring those things in when you purchase.", "I just hope the reputation that Toshiba has is true and I won't have to worry about a crash.", "I will have to purchase Spy ware or Nortell for privacy protection.", "Thank you."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop design_features', 'negative'], ['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": ["I bought this for my 9 year old for a birthday gift.", "It's perfect!", "He uses to play mine craft and School work.", "It's great for what he uses it for."], "output": "[['laptop 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": ["This computer I used daily nice compact design.", "Excellent speed for processing data.", "And if you are a game player it works with World Of Warcraft wonderfully.", "Now when I order I did not go full scale for the webcam or full keyboard I wanted something for basics of being easy to carry when I use crutchs or wheelchair and with a backpack laptop bag.", "All in all great item highly recommend it."], "output": "[['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great laptop for the price.", "It was nearly impossible to find a laptop that had A) a side keyboard.", "I do a lot of 10-key so I can't be pecking around at the top looking for numbers", "B) a DVD/CD player.", "I have a lot of antiquated programs that I use that require a download", "C) a large hard drive instead of using the Cloud", "D) was under $300 with shipping.", "The only con is Windows effin 8.", "Still giving it a 5 star rating because it is fast and a nice sized screen.", "Great for web design and general work."], "output": "[['laptop general', 'positive'], ['keyboard design_features', 'positive'], ['laptop design_features', 'positive'], ['hard_disc design_features', 'positive'], ['laptop price', 'positive'], ['os general', 'negative'], ['laptop operation_performance', 'positive'], ['display design_features', '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": ["When I got this laptop in 2007 to help me with school, I had a hard time from beginning.", "I feel that it was poorly put together, because once in a while different plastic\u00a0pieces\u00a0would come off of it."], "output": "[['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": ["I am really not happy with this computer...", "The keyboard is not as easy to use as my old Sony...", "I don't like WINDOWS 8 but that is no fault of the computer but the keyboard is so hard to get the keys to work and the space bar.", "Would not buy it again."], "output": "[['laptop general', 'negative'], ['os general', 'negative'], ['keyboard usability', 'negative'], ['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop broke within the first hour of use.", "The 'A' key became jammed so that sometimes it wouldn't press in.", "Dell claims they test each key with thousands of mechanical key strokes.", "Also, after restarting the laptop it constantly made high pitched electronic noises.", "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'], ['keyboard quality', '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 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.", "If you're looking for a basic PC this is the way to go.", "The hinges on this PC are nice and tight and well made like the rest of the PC.", "I was surprised  at  the overall quality and the price"], "output": "[['laptop general', 'positive'], ['display design_features', 'positive'], ['laptop miscellaneous', 'positive'], ['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": ["Did not disappoint me at all.", "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": ["The Mac Book Pro performs flawlessly.", "Never had a single problem, and don't have to worry about viruses.", "While I mostly use it for email, internet and gaming, I'm confident all other applications live up to the high standard I've come to appreciate from Mac laptops.", "Worth the investment and truly a fine piece of equipment."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop quality', '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": ["awesome price for a laptop that lasts more than 8 hours without recharging!", "are u serious?", "awesome!"], "output": "[['laptop price', 'positive'], ['battery 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": ["If you need an affordable, entry-level laptop, this will fit the bill.", "I dislike the weight and size, cubersome.", "I dislike the quality and the placement of the speakers.", "Overall, it's ok."], "output": "[['laptop price', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop portability', 'negative'], ['laptop design_features', 'negative'], ['multimedia_devices quality', 'negative'], ['multimedia_devices design_features', 'negative'], ['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This things run smoothly for its price, and the battery life seems to go on forever.", "I got this laptop as an upgrade / replacement for my old Lenovo notebook.", "I didn't have that much money, so I thought I'd give the Inspiron a try.", "I wasn't disappointed in its performance.", "All in all, it's well worth its price tag."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['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": ["With today's company fighting over marketshare, its a shame that ASUS can get away with the inept staff answering thephone.", "I agree with the previous comment that ASUS TECH SUPPORT IS HORRIBLE WHICH IS A CON IN MY OPINION.", "Summary: I've had this laptop for 2 months, out of the blue the power adapter stops working.", "Call tech support, standard email the form and fax it back in to us.", "I called back to ensure that received it, they had.", "But no one could tell me when my part would be shipped nor could they tell me where to buy it ON THEIR WEBSITE!!!", "Frustrated I hung up and tried to call back 3 days later to be told that it takes 2-3 days for turnaround time.", "This was the 3rd day and part still had not been shipped.", "Asked the customer service rep.", "If it's not shipped on the next business day, called on a Friday they are closed on weekends, what was the next step.", "The rep did not even answer my question, I had to ask him, if he understood what I ask or if he spoke english because he didn't even try to acknowledge my question.", "Was searching online for a power supply when I found this site.", "I'm tired of the inept service.", "If you are looking for a netbook pc DO NOT BUY FROM ASUS!!!", "Unless you want to be inconvenienced with a non working power supply which you can't find a replacement for because they made the attachment so small.", "I'M REALLY FRUSTRATED BY THIS EXPERIENCE.", "HOW DOES THE POWER SUPPLY NOT WORK!!!", "I spoke with a service rep at Micro Center and his girlfriend is having the same problem with her power adapter, so it's not just an isolated incident!!!"], "output": "[['support quality', 'negative'], ['company general', 'negative'], ['power_supply quality', 'negative'], ['power_supply operation_performance', 'negative'], ['power_supply design_features', '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": ["This is a great machine!", "The design is awesome, quality is unprecedented."], "output": "[['laptop general', 'positive'], ['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": ["Awesome laptop and the perfect size to carry around in college.", "I couldn't believe how long the battery lasted on a single charge.", "I loaded windows 7 via Bootcamp and it works flawlessly!", "Simply amazing computer!!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['battery operation_performance', 'positive'], ['os operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop is the most amazing little peice of machinery I have owned outside of the Iphone.", "It took me a while top get away from the land of PCs, but now that I have, I can't see myself going back to it.", "The laptop is gorgeous.", "It is sleek, smooth, and lightweight.", "It is easily portable and I take it everywhere I go and might require internet access.", "The screen is very large and crystal clear with amazing colors and resolution.", "The keyboard is slick and quiet and not bulky like some other laptops I have had in the past.", "The processor is very quick and effective as I load webpages and applications.", "It is quiet and a real joy to watch work.", "I love it and will probably get another one when this goes to the Laptop in the sky!!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop portability', 'positive'], ['display design_features', 'positive'], ['display quality', 'positive'], ['keyboard design_features', 'positive'], ['keyboard quality', 'positive'], ['cpu 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": ["the mouse pad and buttons are the worst i've ever seen.", "sometimes you will be moving your finger and the pointer will not even move.", "the mouse buttons are hard to push.", "i cant believe HP put this out.", "do not buy you will be disappointed.", "i'm returning mine"], "output": "[['mouse general', 'negative'], ['mouse operation_performance', 'negative'], ['mouse usability', '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": ["This is the first laptop I've owned, althougth I used several at my previous job.", "The screen graphics and clarity, and sharpness are great.", "I've already recommended this laptop to a friend who eye'd the computer when I took it out of my bag."], "output": "[['display quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is the easiest computer I have ever used", "I have had some excellent computer and have found I had no idea what to do with them", "I saw this one, and I have the most difficult time trying to use them, they've made great dust collectors, I hate putting this computer down", "I LOVE IT!", "I can't say enough good for it!"], "output": "[['laptop usability', '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": ["Unable to boot up this brand new laptop.", "Spent 2 hours on phone with HP Technical Support.", "They went through asking me open up various components, taking battery out, hard disk apart, and after 2 hours on phone could not fix it.", "They are asking me to ship the unit back to fix it at their site.", "I am going to go back and return at Store I bought from!"], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['support 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 absolutely love my Dell Inspiron!", "I use it for basic web browsing and word processing.", "I have also used it to watch YouTube and Hulu.", "It powers on/off very quickly, and it loads up automatically.", "The mouse click is a bit loud, but it really isn't a problem.", "For $250, I highly recommend!!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['mouse quality', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Good keyboard, long battery life, largest hard drive and windows 7.", "And Toshiba is a quality supplier."], "output": "[['keyboard general', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['os general', '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": ["Pretty good laptop.", "Good for basic stuff.", "Don't try to use to play any pc games or anything.", "Just for simple web browsing and media streaming.", "Pretty premium feel for the low price."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'conflict'], ['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": ["One of the best thing i have bought in years.", "Great PC, light and powerful.", "Is just amazing.=)"], "output": "[['laptop general', 'positive'], ['laptop 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 bought this laptop because of the performance to price ratio.", "It works great for general internet use, Microsoft Office apps, home bookkeeping, etc.", "It doesn't have a lot of frills, but I didn't need any, and being able to buy what I needed, and not more than I needed was very important."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop 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": ["It is so simple to use, I use it more than my desktop.", "It is well worth the money it cost, Very good investment."], "output": "[['laptop usability', 'positive'], ['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": ["This computer gets very hot, before shutting down.", "It is not ideal for children because of the temp.", "I Contacted HP\u00a0\u00a0about this situation and was given excuses, without results.", "They didn't even try to assist me or even offer a replacement.", "I will never purchase a HP again ever."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['laptop miscellaneous', '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": ["Amazing machine.", "It is a big big, but since it has a 18.4\" screen what would you expect!", "It is truly a Desktop Replacement.", "Very fast and efficient!", "Does a great job with video shot on a Canon 5D MKII.", "Very happy with my 7th Toshiba laptop!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'neutral'], ['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought my macbook a few months ago and it has been my baby ever since.", "I love it so much.", "It has come into good use for my finances, scheduling, my parents business expenses, and it is definitely amazing for gaming.", "The best thing is even while doing almost ten or twenty things at once, it never slows down.", "It's just as fast with one program open as it is with sixteen open.", "It works exactly like it did the day I took it out of the box.", "GREAT INVESTMENT!"], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['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": ["The pro is a great product, I wish that the 13 inch models came with the Intel i processors and had a more comfortable edge (the edges hurt my wrists).", "Other than that its a great performing machine and well meets all my needs and more.", "Great product by Apple with the new great looking design."], "output": "[['laptop general', 'positive'], ['cpu miscellaneous', 'neutral'], ['laptop design_features', 'conflict'], ['laptop usability', 'negative'], ['laptop 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": ["Ever since I bought this laptop, so far I've experience nothing but constant break downs of the laptop and bad customer services I received over the phone with toshiba customer services hotlines.", "I constantly had to send my laptop in for services every 3 months and it always seems to be the same problem that they said they had already fixed.", "Toshiba customer services will indirectly deal with your problems by constantly tranferring you from one country to another, and I am not kidding you, I called different hours of the day and you'll get someone else from another country trying to get you to tell them your life story all over again, since they make it sound like they don't have your history list of your calls right in front of them.", "It's a long and tirring process that after a while it seems like their game plan was to wear you out so you would want to give up on contacting them.", "And at one point, they blame me for installing a bad memory stick when I upgrade my memory for the first time during my purchase of the laptop (I bought the memory stick they recomended).", "Long story short, since I experience so many problems with my laptop every since I bought it from day one, I didn't ask for a new laptop or a refund of what I pay for a crapy laptop, but just an extension of my laptop warranty for another year, they made a big deal of out that and after so many calls and complaints about their products and services, they finally gave in.", "Was this product worth my time and money to ever want to purchase another products that is toshiba or relating to toshiba?", "Probably not ever again.", "I'll rather be out of date then spend more money on toshiba.", "Remember to do your research first before consider buying a toshiba product."], "output": "[['laptop quality', 'negative'], ['support 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": ["Since I purchased my Toshiba netbook, I have been very pleased with it, I have a laptob and a desktop.", "The netbook is easier for me to take to bed and carry around with me.", "The screen takes some getting use to, because it is smaller than the laptop.", "I have not have any problems."], "output": "[['laptop general', 'positive'], ['laptop portability', 'positive'], ['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": ["The touchpad is very intuitive, so much so that I never want to use buttons to click again!", "The computer loads in about a 1/10th of the time that my PC did, and I have all of the programs that were on my PC.", "Of course, I also have several great software packages that came for free including iWork, GarageBand, and iMovie.", "I especially appreciate the fact that it has almost zero viruses and spyware problems!", "The only drawback for me is how dirty the screen gets, and rather quickly too.", "I'm hoping that I can find a really quick way to clean it without it getting too gross.", "I also enjoy the fact that my MacBook Pro laptop allows me to run Windows 7 on it by using the VMWare program.", "Now I have the best of both worlds with all of the power and ease of the Mac!", "I also got the added bonus of a 30\" HD Monitor, which really helps to extend my screen and keep my eyes fresh!"], "output": "[['mouse usability', 'positive'], ['software general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['display quality', 'negative'], ['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop 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": ["I love this laptop.", "Looks good , well built, and very good speed.", "Needed a 2 usb adapt. for network plug, no problem.", "Keyboard is nice and windows 8.1 is great, worried about that coming from xp.", "Price makes this the laptop I was looking for."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'neutral'], ['keyboard general', 'positive'], ['os general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I was looking for a mac which is portable and has all the features that I was looking for.", "The 13\" Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product.", "The Macbook arrived in a nice twin packing and sealed in the box, all the functions works great.", "I would recommend anyone to buy from pcconnection express.", "Speakers doesn't sound that great.", "The battery life also doesn't keep up with the claim but still I think macbook is much ahead from the rest of the pack."], "output": "[['laptop price', 'positive'], ['shipping price', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['multimedia_devices quality', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Look and feel is good.", "I am experiencing the system little slower than what I have expected.", "And processor feels pressured even though I run medium scale programs, watching the way exhaust speed increases."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'conflict'], ['laptop operation_performance', 'negative'], ['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Awesome laptop!", "Standard issue for company road-warriors where I work.", "Bootup time is amazing, battery life is decent and it has a great slim form factor."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'neutral'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is my first Dell I heard their customer service was lacking and that they were working on improving it!", "I purchased this laptop 9 months ago!", "The DVD burner broke after burning 3 DVD'd during that time!", "They sent me a replacement part and without informing me are requiring that I return it within 15 days or contact them and let them know the broken part will be returned later.", "I am currently out of town and called to inform them the broken part would be returned when I got back in town.", "If this is an improvement in Customer Service then I would hate too see what it was before!", "I spoke to 4 different people and was told they needed to transfer me to a 5th person!", "Needless to say I told them No and have a nice day and hung up!", "I can guarantee this will be the last Dell I will ever purchase!", "Breaking within 1 year of purchase and speaking to 4+ people to report the damaged part will be returned late!", "I do not recommend this company or their products!!!!"], "output": "[['optical_drives quality', 'negative'], ['support quality', 'negative'], ['laptop general', 'negative'], ['company 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": ["I've had my Macbook Pro since August 2009.", "Prior to this computer, I owned a PowerBook G4 for 6 years (quite a long time for a laptop).", "That was my first Apple product and since then I have been incredibly happy with every product of theirs I have bought.", "My MacBook Pro is no exception.", "On my PowerBook G4 I would never use the trackpad I would use an external mouse because I didn't like the trackpad.", "Since I've had this computer I've only used the trackpad because it is so nice and smooth.", "I also like that you can scroll down in a window using two fingers on the trackpad.", "The display is incredibly bright, much brighter than my PowerBook and very crisp.", "The computer runs very fast with no problems and the iLife software that comes with it (iPhoto, iMovie, iWeb, iTunes, GarageBand) is all very helpful as well.", "I also purchased iWork to go with it which has programs for word processing, spreadsheets, and presentations (similar to Microsoft Office).", "I like those programs better than Office and you can save your files to be completely compatible with the Office programs as well.", "I would recommend this laptop to anyone looking to get a new laptop who is willing to spend a little more money to get great quality!"], "output": "[['company general', 'positive'], ['laptop general', 'positive'], ['mouse usability', 'positive'], ['mouse operation_performance', 'positive'], ['display quality', 'positive'], ['software general', 'positive'], ['software usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['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": ["Disclaimer: I'm a Mac user.", "I wanted to love this laptop, which I bought as a transitional laptop to use between jobs, before my new university gave me one.", "In two months, both the power cord pin broke (the company replaced it) and then the CD drive literally jumped out of the laptop unannounced and shattered into a million pieces.", "In addition, no matter what I do to change the settings, add/delete Flash, etc., Firefox hangs on start-up.", "It seems like Lenovo also makes weird choices about which side to put the powercord and other slots on.", "The cords always feel like they are in my way.", "One positive aspect of this laptop is the keyboard, which is larger than usual.", "It's a pleasure to type on.", "My final thoughts: if you are a Mac user, stay away.", "If you want to travel with this laptop, don't buy it.", "It's clunky, heavy, and a pain to start up and shut down.", "If you have zero dollars, consider it.", "If you want ease of use and long-term happiness, buy a Macbook."], "output": "[['power_supply quality', 'negative'], ['support quality', 'neutral'], ['optical_drives quality', 'negative'], ['software operation_performance', 'negative'], ['laptop design_features', 'negative'], ['company general', 'negative'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['laptop miscellaneous', 'negative'], ['laptop portability', 'negative'], ['laptop operation_performance', 'negative'], ['laptop usability', '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": ["It's ok.", "I find that it often gets very slow and I have to restart more than usual.", "It's light and easy to use, though."], "output": "[['laptop general', 'neutral'], ['laptop operation_performance', 'negative'], ['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 computer was bought because I wanted \"top of the line\", fast, reliable, HA.", "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.", "It was slow, locked up, and also had hardware replaced after only 2 months!", "So, buyers beware!"], "output": "[['hard_disc quality', 'negative'], ['motherboard quality', 'negative'], ['optical_drives quality', 'negative'], ['support quality', 'negative'], ['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['hardware 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": ["for the price this is a super product out of the box.", "It wont wow you with its speed but who can complain at $249.", "plus this computer comes with a full size keyboard.", "NO junkware!!", "This computer is great for someone who is looking to manage their online life(banling, facebook etc) and some basic offline work using MS Office.", "the only drawback is no DVD player.. but for $20 you can buy an external one"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'neutral'], ['laptop price', 'positive'], ['keyboard design_features', 'positive'], ['laptop design_features', 'conflict'], ['software 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 Computer Is Horrible Its To Slow.", "The Thing That You Insert CDs Into Won't Open.", "I Won't Ever Buy A Computer Off Amazon Again That's For Sure!"], "output": "[['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['optical_drives quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have loved this since i took it out of the box.", "The battery is really long.", "the features are great, the only thing it needs is better speakers."], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'positive'], ['multimedia_devices 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": ["Immediately didn't like the track buttons.", "They are loud and clunky but I figured I'd get used to it.", "No need to.", "The laptop died two days after I received it."], "output": "[['mouse general', 'negative'], ['mouse quality', 'negative'], ['mouse design_features', 'negative'], ['mouse usability', 'neutral'], ['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": ["It allows me to do everything I need from a computer and more.", "With awesome graphics and assuring security, it's perfect!", "The difference in the Apple keyboard from a PC's keyboard took a bit of tim to get used to, but overall it's worth it!", "I'd recommend this laptop to anyone!"], "output": "[['laptop general', 'positive'], ['graphics general', 'positive'], ['laptop quality', 'positive'], ['keyboard 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 will have to say that I love my MacBook Pro!", "It fires up in the morning in less than 30 seconds and I have never had any issues with it freezing.", "I have used different laptops in the past and I have to rate this one way above the rest.", "This is now my 3rd MacBook Pro and I really honestly love it!", "The newer black keyboard took a little bit away from the previous gray one which looked really slick, but it is still a great notebook!", "The MacBook Pro is very sturdy and versatile.", "I love it!", "I even got my teenage son one, because of the features that it offers, like, iChat, Photobooth, garage band and more!", "We are addicted to the Mac.", "This is a great laptop and I would recommend it to anyone.", "The OS takes some getting used to especially after being a Windows user for so long but the learning curve is so worth it!", "Great laptop that offers many great features!", "Lightweight and the screen is beautiful!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['keyboard design_features', 'negative'], ['laptop quality', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['os usability', 'positive'], ['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": ["I've had the MacBook Pro 15 for about three weeks, and it really is a great computer.", "I have only had PCs with Windows before so this takes a little getting use to.", "The real stand out on this computer is the feel of the keyboard and it's speed.", "It is fast booting up , shutting down, and connection with the internet.", "The one thing I wish it had was a detailed hardcopy manuel.", "I think the manual is somewhere on the hard drive, but I rather have a hard copy."], "output": "[['laptop general', 'positive'], ['os usability', 'neutral'], ['keyboard quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["it is the worst computer dell ever made.", "it is hard to fix and makes it a hassle to own one.", "breaks easily.", "only good thing is the graphics quality."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['graphics 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 8.1.WAY DIFFERENT THAN MY OTHER COMPUTER SO WE HAVE TO GET USE  TO IT.", "IT IS VERY LIGHT AND THE PICTURE IS NICE  AND THE PRICE WAS AMAZING.", "CAN EVEN READMY KINDLE ON THIS COMPUTER"], "output": "[['os usability', 'neutral'], ['laptop design_features', 'positive'], ['display quality', 'positive'], ['laptop price', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am not happy at all with the product I purchased.", "A cheaper price should not equal a \"cheap\" product.", "It was over rated!"], "output": "[['laptop general', 'negative'], ['laptop price', 'neutral'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Well worth the extra cost.", "As a long time PC user, I nearly done using PCs.", "Size is perfect and display is beautiful!", "Get Speck cover at the same time!"], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop design_features', 'positive'], ['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": ["Killer computer.", "Replaced a 10 year old HP that never gave us a lick of trouble.", "I would highly recommend this computer it is FAST!!!", "Doesn't have touch screen but I have a tablet so that wasn't so important."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['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": ["Needs longer lasting battery, More than 1 to 2 Hrs.", "Needs Power and Mouse Cable to Plug in back instead of side, In the way of operating a mouse in small area.", "For the use it was purchased for it is a good Laptop.", "Comfterbale to use light easy to transport."], "output": "[['battery operation_performance', 'negative'], ['mouse operation_performance', 'neutral'], ['laptop design_features', 'conflict'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["very very slow laptop.", "tons of bloatware and junk programs.", "can't reinstall with standard os cd because of proprietary hardware drivers.", "keys are all in weird places and is way too large for the way it is designed.", "lots of extra space but the keyboard is ridiculously small."], "output": "[['laptop operation_performance', 'negative'], ['laptop design_features', 'negative'], ['software general', 'negative'], ['laptop usability', 'negative'], ['keyboard design_features', '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'm an amature, so this does more than I can handle.", "I'm perfectly satisfied, just have to get use to the new 6.1 system I can't see a problem.", "I' doi9ng fine now, and happy as a bug.", "The price is great and it does everything I want to do,  Thanks."], "output": "[['laptop general', 'positive'], ['os usability', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Has a 5-6 hour battery life.", "Much faster than my old windows laptop that died on me.", "It is easy to use and lightweight.", "Was very much worth the price i paid."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['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": ["Couldnt not use it.", "Tried to make a recovey disk wouldnt get passed the first recovery disk.", "defective software.", "returned it to walmart.", "This was the second computer and brand bought that day."], "output": "[['laptop usability', 'negative'], ['software 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": ["GREAT value laptop!", "I can't believe this was just $250", "I am using primarily for Office and Outlook while I'm on the road.", "Speed is great, easy to set up and get going.", "Very pleased so far."], "output": "[['laptop general', 'positive'], ['laptop price', '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": ["I think this computer is super lame.", "I dont understand how anyone can think this is a great product worth purchasing.", "I went to my local Best Buy looking for a new laptop since mine broke.", "I decided to get this pile of crap on a whim and totally freaking regret it.", "It doesnt work worth a damn.", "The display is beyond horrible.", "I can not even read what I am writing half of the time.", "There are so many things wrong with this product, it just makes me want to set my self on fire!", "I would totally recommend any other laptop over this pile of grabage.", "I know there are way better laptops out there for the same price, and why spend money on shit when you can go out and get yourself a perfectly decent laptop that doesnt suck total monkey balls.", "Not to mention it has shit gigs.", "I could not even put my entire music collection on this garabage.", "Do yourself a favor and invest in a few external harddrives if you are planning on purchasing this laptop."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative'], ['display general', 'negative'], ['display usability', 'negative'], ['laptop price', 'neutral'], ['hard_disc 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 Toshiba Mini Notebook, Model NB 305-N410BL, is a great little computer.", "It is easy to use, its keyboard easily accommodates large hands, and its weight is fantasic.", "Upgrading from Windows 7 Starter, thru Windows 7 Home Premium, to Windows 7 Professional was a snap;", "both upgrades were quickly accomplished after purchasing the necessary Product Key.", "Other installed features, such as certain printer software, are also most attractive."], "output": "[['laptop general', 'positive'], ['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": ["I love my macbook pro!", "I have been a mac user since the mid 90s.", "I grew up in a design family so it only made sense.", "My laptop is almost 2yrs old and I have never had any problems with it.", "If you are a PC user looking to convert I would HIGHLY recommend it!", "It may take a little getting used to but you don't have to worry about viruses or other headaches.", "Not to mention the fact that your mac comes fully loaded with all necessary basic programs.", "I am ADDICTED to photo booth!", "It is SO much fun to play with.", "I work with kids and they love making short videos on there.", "I am able to organize my pics, music and files easily.", "If you have any creativity in you do yourself a favor and get a mac!"], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop usability', 'neutral'], ['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['software general', 'positive'], ['software miscellaneous', 'positive'], ['software usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["For everyday use, you can't really go wrong with this laptop.", "If, like me, you will be paying bills, occasionally reading the news, or just buying stuff on line, Then this is a winner.", "If you are a gamer or need it for heavy computer use, get something else.", "It's a good starter computer that is extremely light on the wallet.", "Like i said, Good for basic stuff and as a starter.", "Still getting use to Window 8.", "Has a built in camera which i do not use.", "Sturdy but only for typical wear and tear."], "output": "[['laptop miscellaneous', 'conflict'], ['laptop price', 'positive'], ['os usability', 'neutral'], ['laptop design_features', 'neutral'], ['laptop quality', '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": ["There are so many wonderful features and benefits to the new MacBook!", "The #1 reason that is always repeated.", "No Viruses!", "This laptop is fast and you will literally learn all you can do with this dynamo by just watching the online tutorials.", "I am loyal to Apple.", "The Macbooks worth every penny.", "They're easy, fun, powerful and will last a long time.", "The great 18 month same as cash financing and Advance Protection Plan which includes accidents like spills ., which Apple doesn't offer, is why I bought my MacBook at Best Buy.", "I am very Happy!"], "output": "[['laptop design_features', 'positive'], ['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It really is perfect for work and play.", "I am able to play 720p and 1080p media files just fine with it.", "Everything I have tried has worked and I never have to carry the wall charger cause the battery is so awesome.", "The only thing that isn't perfect about this netbook is the speakers, they are not loud at all but I expected that.", "I upgraded it's RAM to 2GB, I am very happy with it."], "output": "[['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['multimedia_devices quality', 'negative'], ['laptop general', 'positive'], ['memory 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": ["What a great little laptop.", "Maybe not the cutting edge (Satellite L455D) but it is a workhorse.", "I bought it to use in college and it is perfect.", "I dual boot with Linux and that other security-prone OS and it performs flawlessly.", "I made a perfect decision when I bought the Toshiba!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'neutral'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Laptop!", "Bigger screen than expected, laptop with a desktop design that is really nice to use for all types of usage, including programming/editing"], "output": "[['laptop general', 'positive'], ['display design_features', 'positive'], ['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": ["It's an amazing laptop.", "Most of the things about the laptop is awesome except the touchpad.", "The laptop is fast.", "The Windows 8.1 used to boot in just 2s and that was freaking awesome.", "Now I have dual booted my laptop to Windows 8.1 and Ubuntu 14.04 and it's not got too slow either.", "I am loving it completely.", "It does make a little noise but that's alright as it's not too much.", "It doesn't get heated up much even after continuous usage.", "But the  touchpad is soooooooooo big that whenever I am typing, my palm touches some part of it and then the cursor goes somewhere else and it's really annoying.", "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.", "HP please fix it.", "A smaller touchpad would make life easier for Computer Science students or IT people much more easier."], "output": "[['laptop general', 'positive'], ['mouse general', 'negative'], ['laptop operation_performance', 'positive'], ['os operation_performance', 'positive'], ['laptop quality', 'positive'], ['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 bought this laptop on Saturday and am completely in love with it!", "It was super easy to set up and Is really easy to get used to.", "The online tutorial videos make it super easy to learn if you have always used a PC.", "I now travel with this laptop and my work PC.", "I love the Mac so much better than my work PC!", "I will never go back to Windows!"], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["By far the best laptop I've ever had.", "Its fast, powerful, screen display is top notch and the battery life is excellent for a laptop of this size.", "My only concern is that since the battery is not external, I will not be able to change it out once it starts not to hold a good charge over a length of time.", "I wonder if thats just Apples way of saying its time to get the newest and greatest laptop 3-4 years from now lol."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'negative'], ['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": ["I love the size, keyboard, the functions.", "I don't really have a complaint.", "It is easy to use, good quality and good price.", "Perfect trifecta!", "I would recommend this product."], "output": "[['laptop design_features', 'positive'], ['keyboard general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['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": ["I have had this laptop for a few months now and i would say im pretty satisfied.", "The only problems are the sound isnt very loud I have to wear headphones.", "Another thing is that after only a month the left mouse key broke and it costed $175 to send it in to fix it.", "That whole experience was just ridiculous we sent it in and after they told us that we had to pay $175 to fix it we were like we will just by a portable mouse which would be way cheaper but they refused to send the laptop back until we paid the $175 and it was fixed.", "It took a little over 2 weeks until i got it back.", "ANd I babyed the heck out of it just one day when i opened it turned it on went to click and it was broke.", "I babyed the heck out of it and i still do.", "To be honest i think it was faulty equipment or something but idk.", "The graphics are great.", "The internet speed is spectacular.", "The battery life is probably an hour at best.", "Oh and it has word and stuff but its a trial verion so after about a month or so when you go to open it it asks for a product key which didnt come with the computer and even after clicking cancel it wont let you use it at all I use the old word processer which works good.", "I would recommend it just because of the internet speed probably because thats the only thing i really care about.", "I wish the volume could be louder and the mouse didnt break after only a month."], "output": "[['laptop general', 'positive'], ['multimedia_devices quality', 'negative'], ['mouse quality', 'negative'], ['support price', 'negative'], ['support quality', 'negative'], ['laptop quality', 'negative'], ['graphics general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['battery operation_performance', 'negative'], ['software 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": ["Dell Latitude d620 is not a reliable machine.", "The battery never held a charge longer than one hour and within two months, stopped holding a charge for more than ten minutes.", "Later it held zero charge and its replacement worked for less than three months.", "The machine is slow to boot up and occasionally crashes completely."], "output": "[['laptop quality', 'negative'], ['battery operation_performance', 'negative'], ['battery quality', 'negative'], ['battery miscellaneous', '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": ["I am very happy with this laptop.", "For the price and what I get out of it has exceeded my expectations.", "I always have used a tower home PC and jumped to the laptop and have been very satisfied with its performance."], "output": "[['laptop general', 'positive'], ['laptop price', '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": ["the key bindings take a little getting used to, but have loved the Macbook Pro.", "Delivery was early too."], "output": "[['keyboard usability', 'neutral'], ['laptop general', 'positive'], ['shipping quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer was awful!", "I will never buy another computer from Dell ever again do to how awful it worked and how I was treated by the company.", "The computer first started malfunctioning 3 months after purchasing it.", "It does not keep internet signals no matter where you bring it.", "The system it comes with does not work properly, so when trying to fix the problems with it it started not working at all.", "When calling Dell for help, reurn, or a new computer they were not useful and left it up to myself to figure out what to do with it.", "One year of trying to fix the computer by myself, with help of friends, and even help from computer experts I have given up on trying to fix it.", "This computer was awful, I would never recomend it to another person.", "Those moments in thime where you want to throw something against the wall?", "Yeah, I wanted to throw that lap top out the window and light it on fire.", "That's how frustrating it was."], "output": "[['laptop general', 'negative'], ['company general', 'negative'], ['laptop operation_performance', 'negative'], ['support quality', 'negative'], ['laptop quality', 'negative'], ['laptop connectivity', 'negative'], ['os quality', 'negative'], ['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only pro to this computer is it was under $600!", "Everything is falling apart internally and externally.", "I am not much of a computer techie, so I can understand some of\u00a0the internal problems, though I do have trend micro as an antiviral program.", "With in weeks of purchasing my computer is began to slow down.", "I am constantly trying to uninstall programs, clean cookies, and delete unused files.", "Nightly my computer defrags itself and runs a virus scan.", "More times that not the screen pops up saying I have a bad internet connection, or the page can't be displayed.", "It takes me approximately 3 tries to get to each site, then after closing the browser and reopening it it actually works.", "I have Vista, so I am unable to install and uninstall\u00a0 some programs.", "I can't even install one of the 3 printers I have in my house so I am unable to print.", "Externally the keys on my keyboard are falling off, after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit, and the screen has a terrible glare.", "In short I would never buy a Compaq again.", "My last computer, a Toshiba, cost only $400, and worked like a charm for many years."], "output": "[['laptop general', 'negative'], ['laptop price', 'positive'], ['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['laptop usability', 'negative'], ['os general', 'negative'], ['laptop connectivity', 'negative'], ['keyboard quality', 'negative'], ['mouse quality', 'negative'], ['display 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": ["Its not just slow on the internet, its slow in general.", "No I am generous calling it slow.", "its more like a snail crawl.", "I bought for my son in the 2nd grade.", "he can't stand it.", "I can't begin to say how disappointed I am.", "I should have spent an extra hundred bucks and got a full sized computer."], "output": "[['laptop operation_performance', 'negative'], ['laptop connectivity', '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 am very happy with this computer.", "It is exactly what I expected, and the price is excellent!", "You are getting what you pay for and in my opinion, it is worth more.", "Been using it for about 4 hours now and it seems plenty fast and does everything I need it to do."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't expect much in terms of performance from this laptop.", "It gets the job done in terms of having a computer that can browse the web, use Word/Excel, and the like.", "This laptop does NOT have an RJ-45 Ethernet adapter for wired network connection."], "output": "[['laptop operation_performance', 'negative'], ['laptop miscellaneous', 'positive'], ['laptop design_features', 'negative'], ['laptop connectivity', '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": ["It was too cheaply constructed.", "It also gave me an introduction to Windows 8, which I hope will be discontinued it the future."], "output": "[['laptop quality', 'negative'], ['os 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 love the glass touchpad.", "Easy learning curve.", "Also the display is exceptional!"], "output": "[['mouse design_features', 'positive'], ['laptop usability', 'positive'], ['display 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": ["Terrific laptop.", "Works beautifully."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["No ethernet outlet", "Disc drive will not open or function", "Odd - unusual Dell Commands", "Would have exchanged instantly - but had to use as if for College immediately.", "Unimpressed."], "output": "[['laptop design_features', 'negative'], ['laptop connectivity', 'negative'], ['optical_drives quality', 'negative'], ['optical_drives operation_performance', 'negative'], ['laptop miscellaneous', '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": ["This laptop serves all my needs.", "Screen size is perfect for portable use in any environment.", "Price and purpose is awesome!"], "output": "[['laptop general', 'positive'], ['display design_features', 'positive'], ['laptop portability', 'positive'], ['laptop price', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Let's just get this out of the way, I love Apple!", "So this review might be a tad bit bias.", "But the Macbook is the best!", "It is super easy to use.", "All you have to do is turn it on and it works.", "It is very durable, I am pretty rough when it comes to electronics and it has taken it all with no reprecutions yet.", "I don't do any high tech stuff on it, just write papers, check mail, and sometimes play games, so I can't reccomend it if you are in the computer field.", "But if you are in the computer field you probably wouldn't be here.:)", "In the past four years I've had it I have never once gotten a virus.", "I did have to replace the battery once, but that was only a couple months ago and it's been working perfect ever since.", "I would definitely reccomend this if you are in the market for an easy to use, stylish, fun, awesome computer.", "Also it is very good for college students who just need a reliable, easy to use computer.", "Hope this helped!"], "output": "[['company general', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['battery quality', 'neutral'], ['battery operation_performance', 'positive'], ['laptop design_features', '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 never have had a good result with this computer.", "I was told by many  that it was a great computer, but we got one of these, and it worked  great for one year, and as soon as the warrenty was up, then it got  really bad.", "They told me it was my loss even though it was the computer, not  what I've done.", "The hard drive crashed as well, and I had to buy a new  power cord.", "They told me to reprogram the computer, and I didn't need  to do that, and I lost pictures of my oldests first 2 years of her  life.", "I don't like this company nor the toshiba brand, and I'll never  buy another one because I've put more into it then it is worth.", "I would  rather spend my money on a computer that costs more then a Toshiba that  isn't good at all."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['hard_disc quality', 'negative'], ['power_supply 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": ["I have used both PCs and Macs and I have to say that I really really love my Mac Book Pro.", "While most people say that PCs hold functionality and value and Macs are just pretty to look at, I think there's something to be said about the simplicity of Macs.", "Everything from the design to the OS is simple and to the point.", "LOVE IT LOVE IT LOVE IT!"], "output": "[['laptop design_features', 'positive'], ['os usability', 'positive'], ['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": ["It's so damn good I bought 2 :D", "If you're the type of person that just likes to browse the Internet and enjoy media and do light work with Microsoft office, this is the laptop for you.", "Don't expect it to be a champion performer so if you want to play games or whatever this is not the computer for you.", "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.", "I would recommend this to anyone who doesn't need much out of a computer.", "Bought a spare one for college and one for my mom :D", "Happy shopping guys"], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'conflict'], ['laptop operation_performance', 'neutral'], ['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": ["Performs as advertised, if not better!", "Super light weight (I never cared either way about weight until now).", "Feels like solid state.", "WONDERFUL machine;", "glad I bought it.", "Tiny, forgivable drawback - no ethernet cable outlet.", "But that's not a deal-breaker.", "SUPER LAPTOP!!", "Will probably get another one for my wife!"], "output": "[['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['laptop connectivity', '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": ["Sells for the same as a netbook without sacrificing size.", "My favorite part of this computer is that it has a vga port so I can connect it to a bigger screen.", "Great wifi too.", "The screen is a little glary, and I hated the clicking buttons, but I got used to them."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop connectivity', 'positive'], ['display quality', 'negative'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a great bargain.", "Yes, it's running and old type processor so, hey, don't even try gaming on it.", "But, if you are just an average user, it works really great.", "The screen is good, the whole things is very light and doesn't run hot.", "I'm very happy with it, typing on it right now and it is fast enough for that!", "I like everything about this laptop.", "It has no way of connecting to the internet save wifi but that's all I use anyway!", "I put that free app on for word processing and it works like a charm.", "I plugged it into my existing printers and it just worked, no fuss no muss.", "It immediately recognized the printer and was ready to go.", "Excellent buy."], "output": "[['laptop price', 'positive'], ['cpu design_features', 'neutral'], ['laptop miscellaneous', 'conflict'], ['display general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['software operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I get a ton of compliments on its size, and speaking as someone who regularly commutes on a bus, I can attest to the fact that this is the perfect size computer if you're restricted to the width of your body for computing room.", "Very long-life battery (up to 10-11 hours depending on how you configure power level settings).", "I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home, and it runs just fine.", "I play a lot of casual games online, and the touchpad is very responsive.", "The only thing I wish this had was the option to turn off the touchpad with a button like my big 16\" laptop does.", "I wouldn't play a first-person shooter with this, mind, but if you wanted to run MS Office, email, chat, download a video, listen to music from a certain fruit-named music store, and were looking for a highly portable yet powerful netbook to do that all in, I'd highly recommend checking this out.", "The downside to this netbook is pretty much the same for any netbook: screen size is not something I'd stare at for the entire 10-11 hours of battery life five days a week.", "Additional caveat: the base installation comes with some Toshiba-specific software that may or may not be to a user's liking."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['battery operation_performance', 'positive'], ['laptop usability', 'neutral'], ['laptop operation_performance', 'positive'], ['mouse operation_performance', 'positive'], ['mouse design_features', 'negative'], ['laptop miscellaneous', 'positive'], ['display design_features', 'negative'], ['software 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": ["Functions well.", "Does all that was advertised."], "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": ["I don't like it at all...", "I can't put a protector to make presentation..."], "output": "[['laptop general', '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": ["I would like to tell you about the best laptop I just got from Mac.", "I work in film editing and post production, so I need a laptop that not only has power, but memory and speed as well.", "My mac laptop is fabulous in both areas.", "It gives me the power and speed that I need to run all the programs I use to edit.", "The Final Cut Pro on this laptop is so fast and easy, and I can use this to seemlessly transfer all my work to my home computer, which is also a mac.", "I would buy one of these for every person in my office if I could.", "In my line of work, I often have to take work home, and this makes it so easy.", "I do transcription work on the side, and the flatline keyboard makes typing quick and easy as well.", "The apple care has never failed me, and I expect it to be the same for this computer as well.", "I will only buy apple laptops from now on."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['software operation_performance', 'positive'], ['software usability', 'positive'], ['laptop usability', 'positive'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['support quality', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this last week, and the very next day had to return it because it over heated and the touch-mouse stopped responding.", "got another 1, and same issue.", "I am taking back today.", "Don't waste your money or time.", "Very dissappointed becase I have had toshibas for years, and never a issue."], "output": "[['laptop quality', 'negative'], ['mouse operation_performance', 'negative'], ['laptop general', 'negative'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the first Apple product that I have purchased.", "VERY disappointing:", "I was not aware that this product cannot display websites that contain Flash.", "About 1/2 of the sites I need to visit because of my work contain some type of Flash.", "Web access through the 3G network is so slow, it's very frustrating and VERY DISAPPOINTING.", "One of the primary reasons why I purchased an IPad was to store photographs so that I could show to my customers.", "After purchasing this thing, I find out that I need a special interface device to connect my camera, and that it cannot be purchased at the store - only on line.", "I go to purchase it on line, and I find out that the device will not be available until almost two months later!", "I now realize that my $900 would have been better spent on a Windows laptop."], "output": "[['laptop general', 'negative'], ['laptop usability', 'negative'], ['laptop connectivity', 'negative'], ['laptop 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": ["With all the goodies inside this machine, it is a value.", "It is very well built.", "The keyboard is top notch.", "The touch pad is among the best.", "The screen is huge and coloful, but no LED backlighting.", "The video card is great for media, and above average for gaming, but not a gamers first choice.", "The problem I had with this unit was unresolvable.", "It had a cooling system malfunction after 10 minutes of general use, and would not move past this error.", "I realize that not every unit has this issue, but the ones that do cannot be repaired.", "I acually believe the issue is with the Nvidia grafics card, but still requires a return.", "Instead of taking another chance on Toshiba, I went with an Asus G73JH-x3.", "They offer the best warranty in the business, and don't 3rd party it out like Toshiba.", "For the same price, you get a lot more in the Asus....1920x1080 res./ awesome cooling system/ much better grafics card (ATI 5870) / 8GB RAM/ LED backlit screen...", "Sorry Toshiba, but 1st impressions do count for something."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['keyboard quality', 'positive'], ['mouse general', 'positive'], ['display design_features', 'conflict'], ['graphics miscellaneous', 'conflict'], ['laptop general', 'negative'], ['fans_cooling quality', 'negative'], ['fans_cooling operation_performance', 'negative'], ['graphics general', 'neutral'], ['warranty general', 'negative'], ['laptop price', 'neutral'], ['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 battery life.", "Keyboard is reasonable size.", "Small screen somewhat limiting but great for travel.", "Charger seems large for this class of computer."], "output": "[['battery operation_performance', 'positive'], ['keyboard design_features', 'positive'], ['display design_features', 'negative'], ['laptop portability', 'positive'], ['power_supply design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Excellent product for the money.", "No problems, no lock ups, no disappointments.", "Not super fancy, but not super expensive either.", "Have had many higher priced computers crash and burn long before ever got to use all that great memory and speed, etc.", "Highly recommend for daily use.", "We now own two of these, identical."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop operation_performance', 'positive'], ['laptop design_features', '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": ["Great price and computer!", "I bought this laptop computer for my parents, they only access their facebook and e-mail accounts, see family pictures, etc.", "They loved it.", "It's easy to operate and it's very light (my parents are almost 60 yo, they can't carry a heavy computer while traveling).", "But here's something I hadn't realized before buying it: there isn't an optical drive, which means NO CDs or DVDs!"], "output": "[['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'conflict'], ['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": ["This laptop is amazing!", "Despite the fact that there's no optical drive, everything is perfect.", "The screen resolution is crystal clear, the speakers are amazing, and the track pad is easy to use.", "The home page/startup is easy to navigate which is the one thing I was mainly concerned about.", "Internet is fast and reliable, battery life lasts a long time.", "I love this laptop!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'neutral'], ['display quality', 'positive'], ['multimedia_devices general', 'positive'], ['mouse usability', 'positive'], ['os usability', 'positive'], ['laptop connectivity', '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": ["No laptop is perfect, but sometimes you just find a computer that works for you.", "This laptop does everything I need it to very well.", "I bought this laptop so that the entire family had a computer in the living room;", "the two of us use it regularly.", "I wanted something that had a new Intel Core processors and HDMI port so that we could hook it up directly to our TV.", "The best thing about this laptop is the price along with some of the newer features.", "The screen is bright and the keyboard is nice;", "I find myself using the 10-key more than I thought I would.", "Battery is lasting about 6 hours as I am surfing the web on Sundays while checking football scores and watching funny Youtube videos.", "For those that care about noise this thing doesn't really make any;", "the i3 processor doesn't seem to run hot and the fan rarely turns on.", "I took off a star because the machine has a lot of junk software on it.", "I wish Toshiba would allow their customers to select an option that only boots the OS at setup and removes all the unnecessary stuff.", "Once I removed all the software the laptop loads in 15-20 seconds.", "This is not a serious gaming laptop or a serious media machine;", "my niece and nephew have played a few web games and it runs anything that doesn't require a dedicated video card.", "Overall I am very satisfied with the purchase.", "I looked around and based off my price/features comparison from a brand I trusted I landed here."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop design_features', 'conflict'], ['display quality', 'positive'], ['keyboard general', 'positive'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['battery operation_performance', 'positive'], ['laptop quality', 'positive'], ['cpu quality', 'positive'], ['software general', 'negative'], ['laptop operation_performance', 'neutral'], ['laptop miscellaneous', 'negative'], ['graphics 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": ["Shiny", "This Laptop is the Best of the best!", "The Awesomest of the awesomest.", "It is so great, I can Hardly ever take my hands off it!", "My friends are in awe every time they come over!", "I got it for Christmas, and I was so excited to set it up!", "It is super fast, and always loads.", "I am just amazed.", "The only bad part is the size/weight.", "It's like 9 punds, but if you can look past it, it's GREAT!", "If you don't like fingerprints, this might not be the laptop for you.", "It super shiny, so you can see the fingerprints easily.", "It doesn't bother me though.", "It doesn't heat up like my old laptop.", "All for such a great price.", "It's color is even cool.", "Another Great thing is the Beast graphics.", "They are so realistic I am just speechless.", "I let my friend borrow it, and she knows nothing about computers, and she used it with ease.", "The cool thing about this is anyone can use it.", "Mom, Dad, Brother, sister, You name it!", "I don't know how I could ever live without my Qousmio."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'conflict'], ['laptop quality', 'positive'], ['laptop price', 'positive'], ['graphics quality', '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": ["power supply went bad after 2 weeks --", "after much effort and 10 days ASUS replaced it", "The WiFi is very weak.", "I have other computers that get strong signals that don't drop in places that this \"net\"book loses its signal.", "Summary: Spend your money elsewhere"], "output": "[['power_supply quality', 'negative'], ['support quality', 'negative'], ['laptop connectivity', '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": ["Very fast and good for most steam games.", "Don't expect great graphics, though.", "The keyboard and sound are great, and the matte screen works well.", "Can run CS:GO at 60 fps on low settings."], "output": "[['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive'], ['graphics general', 'neutral'], ['keyboard general', 'positive'], ['multimedia_devices quality', 'positive'], ['display 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": ["This computer had exactly the specifications I needed.", "Small enough to use on a long flight, Light enough to carry through airports and powerful enough to replace my desktop while on long business trips.", "The perfect notebook...", "When I finally had everything running with all my software installed I plugged in my droid to recharge and the system crashed.", "The Aspire wont even boot past the Acer screen with a Droid (I have tried both Motorola and HTC) plugged into the USB port.", "Called tech support and got the usual Acer \"We don't support software but for $$$ we can help you\" I explained there was no software involved in booting.", "No, tey don't even support their own bios and it \"could be a problem with the bios\" How can a company that makes a fairly decent product get away with such insanity??!!", "Needless to say a PC that can't support a cell phone is less than useless!"], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'negative'], ['laptop general', 'negative'], ['laptop connectivity', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm new - just switched from years of PC frustration.", "what an elegant, wonderful machine.", "I'm making the switch and finding that my biggest problem is trying to do things the 'old' way - and Apple does, indeed, have the better idea.", "I really wish I had done this years ago.", "Pairing it with an iPhone is a pure pleasure - talk about painless syncing - used to take me forever - now it's a snap.", "Thank you Best Buy for putting my computer together and installing my first software - you guys were GREAT too!", "I love it - never had a computer I was so impressed with - and I've had a lot of laptops and desktops - this one is FAR AND ABOVE THE BEST ONE I EVER HAD BEFORE."], "output": "[['laptop design_features', 'positive'], ['laptop general', 'positive'], ['company general', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So far I am very happy with this computer.", "It has everything I wanted-- built in Wi-Fi connectibility, a slot for my SD camera memory card, a DVD burner, big beautiful screen, plenty of USB ports (three 3.0 and one 2.0), and a keyboard with a nice touch.", "I liked the fact that it came with Windows 7, but also included Windows 8 to install later if I need it.", "The price was good.", "I use a wireless mouse, but the touch pad and the \"red button\" in the middle that works like a little \"joystick\" also work fine.", "I wish I had bought this sooner!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop connectivity', 'positive'], ['display design_features', 'positive'], ['keyboard quality', 'positive'], ['os general', 'positive'], ['laptop price', 'positive'], ['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": ["Bought it to use mostly for oline classes.", "i would have to say that overall its great!", "Aside from the trial software and the short battery life, lack of a webcam, its great.", "Fast, great visual!", "Oh yea, has no numeric pad on the side.", "I use that alot on my desktop, so I am adjusting to not having it."], "output": "[['laptop general', 'positive'], ['software miscellaneous', 'negative'], ['battery operation_performance', 'negative'], ['laptop design_features', 'negative'], ['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba Net book operates very well.", "The only objection I have is that after you buy it the windows 7 system is a starter and charges for the upgrade."], "output": "[['laptop operation_performance', 'positive'], ['os miscellaneous', '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": ["An absolutely hateful machine that no one should get of their own free will.", "I just can't fathom that the celebrated Dell would last a week in environment of free competition with normal products - it only survives b/c its substandard laptops are forced onto captive students and employees through question-raising programs.", "Mine came at $1,700 w/o a DVD burner (!).", "Enough said.", "The screen is framed by half- to a full-inch margin that is obviously unnecessary, reduces the screen size and increases the bulk.", "The 4 USB ports are nice, but the two on the side only work now and then.", "Keyboard could use some trimming.", "Did I mention everything about it, from size to weight to keyboard screams BULK?"], "output": "[['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop price', 'negative'], ['display design_features', 'negative'], ['ports quality', 'negative'], ['ports operation_performance', 'negative'], ['keyboard design_features', 'negative'], ['keyboard general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have owned macbook pros since 2005 and this is the best yet!", "I have had no problems with it unlike some hardware defects on past models.", "I have never had to shut down the computer unexpectedly and the computer has never froze on me.", "The screen is bright and vivid and the keyboard is very easy to use, very important for use quick typers.", "Navigation through the computer is far superior compared to Windows operating systems, as well.", "Overall, this is a wonderful computer and definitly worth the purchase!"], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['keyboard usability', 'positive'], ['os usability', '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": ["So far so good with this laptop.", "Fan vents to the side, so no cooling pad needed, great feature!", "Screen is crystal clear and the system is very responsive.", "Memory is upgradable.", "The only thing I would change about it is the mouse keys.", "They click.", "sounds like a typewriter, but if you can get past that, this is a great laptop for a little money!"], "output": "[['laptop general', 'positive'], ['fans_cooling design_features', 'positive'], ['display quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['mouse quality', 'negative'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I like the design rather sleek and light.", "I will give advise any prospective buyers this is not great laptop, Its good for web browsing and word processing"], "output": "[['laptop design_features', 'positive'], ['laptop general', '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": ["Great labtop..", "not as fast as I would have liked it to be but everything else is great!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Macbook is a fantastic laptop.", "This is the first macbook I have ever had.", "I came from the Dell Laptops and now I am so glad I switched when I needed a new laptop.", "The macbooks are small enough to be very portable yet hold tons of information and performance.", "Although the price is higher then Dell laptops, the Macbooks are worth the dough.", "You will love this macbook if you choose to buy it.", "The macbook rarely requires a hard reboot.", "It just works flawlessly!", "Its hard to encounter a problem on a mac that would require such abrupt action.", "Dells are ok, HPs aren't that good, but Macs or Fantastic.", "I honestly love my mac, thats why I am a self proclaimed mac addict.", "If you want more information on macs I suggest going to apple.com and heading towards the macbook page for more information on the applications."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop price', 'negative'], ['laptop operation_performance', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have owned many computers and laptops.", "I HATE this one.", "Vista is a nightmare.", "No tutorials on the display.", "The book is useless.", "The machine has a bluray player the book has no mention of it or how to connect it to your HDTV.", "this is one of the reasons I purchased it.", "Thinking about returning it"], "output": "[['laptop general', 'negative'], ['os general', 'negative'], ['laptop miscellaneous', '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": ["Too often I would find it not being able to stay connected to the internet.", "I was unable to download iTunes to it.", "Dell support was awful to deal with.", "And the settings are simply annoying.", "Just not for me."], "output": "[['laptop connectivity', 'negative'], ['laptop usability', 'negative'], ['support quality', 'negative'], ['laptop miscellaneous', '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": ["Waiting for the i7 was well worth it, great value for the price.", "Bigger HD, better graphics card, and a bid HD.", "There is nothing to complain about the system.", "I have used PC's and converting to this MacBook Pro was easy.", "If you have the money I suggest going for the i7."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['hard_disc design_features', 'positive'], ['graphics 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": ["the computer is very wonderful.", "was not aware it did not have a disk drive when i bought it or i would not of purchased it.", "it does have a habit of restarting itself when you try to do the log in pw. but over all. im very satisfied.", "its very fast and very light.", "great product.", "i am giviing it four stars instead of five because of no disk drive and the crashing"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'conflict'], ['laptop operation_performance', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this product because it is Toshiba and its 15.6\".", "It has no camera but, I can always buy and install one easy.", "I had a USB connect but, i can't use it because it is not compatible.", "That's the downside for me.", "But, I would recommend this product."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["not durable .", "slow processor, just not it"], "output": "[['laptop quality', 'negative'], ['cpu operation_performance', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Initially I liked the product so much.", "Although it was slow but I felt it was ok for the price you have bought it.", "But now I am having battery problems.", "Laptop automatically shuts down when battery life reaches 30%.", "I bought this laptop in November 2013.", "I am not satisfied with the product."], "output": "[['laptop operation_performance', 'negative'], ['laptop price', 'neutral'], ['battery 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 enjoy very much my new Toshiba, purchased specifially for attending online schooling.", "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.", "I have found also, it is very easy to be able to access wireless internet access; without having to have extra equipment and/or complicated routes to take to be able to do so.", "I also love the small, convenient size of my laptop, making it a perfect tool for my academic studies.", "I am very pleased with my purchase!"], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive'], ['laptop design_features', '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": ["Built in mike is really poor and unusable for Skype or any other purpose.", "And the only microphone input is for a combo Mike/Speaker plug.", "So to communicate I need to wear ear plugs or a headset with a built-in mike.", "That's a nuisance for family Skype calls...only one can speak at a time."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices usability', 'negative'], ['laptop design_features', 'negative'], ['laptop usability', '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'm really impressed with the quality and performance for the price of the computer.", "Graphics are clean and sharp, internet interfaces are seamless.", "Only issue is that it is a little slow, and I'm fixing that by adding more RAM.", "Sound card is limited though."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop price', 'neutral'], ['graphics quality', 'positive'], ['laptop connectivity', 'positive'], ['laptop operation_performance', 'negative'], ['memory design_features', 'neutral'], ['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": ["I hate it.", "I have had the luxury (sarcasm) of owning 2 of these laptops.", "The first fell apart right after the 1-year-warranty.", "During that time, I had to send it back 3 times.", "I paid about 18000 for this laptop because of all the bells and whistles and it kept crapping out on me.", "None of the techs at HP knew what they were doing.", "They would repair one thing, send it back and it would still have the same problem.", "The processor went on me, the fan went and the motherboard went.", "I wanted to purchase the extended warranty and they refused, because they knew it was trouble.", "I had something else go wrong and they said it had to be in good working order to be able to buy the warranty.", "I took it to friend who temporarily fixed it and I finally paid about 1500 for the extended warranty.", "I sent it back AND THEY LOST IT.", "I waited and waited and no laptop.", "Finally after months of research the discovered that they mailed it to a Walmart and there probably would be no way to find the box.", "I waited another month for approval and for them to \"BUILD\" me a new laptop.", "I was psyched.", "I thought all my problems would finally be solved being that my old computer wouldn't go onto our wireless network and I wouldn't have the same problems because it was updated.", "Here we are another year later and the computer is doing the same thing.", "HP didn't fix it.", "I swear they design these things to go to crap after a year so you are stuck and have to buy a new one.", "I use my friends and family's $2000 laptops and they are fast and reliable and HP, well, I'll never buy or recommend an HP to anyone!"], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['laptop design_features', 'negative'], ['laptop price', 'negative'], ['support quality', 'negative'], ['cpu quality', 'negative'], ['fans_cooling quality', 'negative'], ['motherboard quality', 'negative'], ['warranty price', 'neutral'], ['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 a starter notebook.", "The processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing.", "The notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV.", "If you check you will find the same notebook with the above missing ports and a dual core AMD or Intel processor.", "I would not recommend this to anyone wanting a notebook expecting the performance of a Desktop it does not meet the expectations.", "It is a cheap throw together.", "Save your money and go for a better device."], "output": "[['cpu operation_performance', 'negative'], ['laptop design_features', 'negative'], ['laptop connectivity', 'negative'], ['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": ["Summary: Dont buy HP.", "If you buy, pray you dont have major prolems."], "output": "[['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": ["The laptop was very easy to set up.", "I did not have to call the support line at all.", "Everything was so easy."], "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": ["I've had this laptop for about a month now.", "It has served my needs quite nicely for the most part.", "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.", "The ATI graphics card is a huge plus, definitely a good value if you need to be able to run some slightly older games that a Intel built-in card would have trouble with, such as Half-Life 2 or even World of Warcraft.", "My one complaint with this laptop is that I've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in.", "This is likely due to poor grounding and isolation between the components, and I'm hoping that it can be fixed with a ground loop isolator, but I still expected better product quality for this price range.", "Other than that, I would recommend this to someone in need of a cheap laptop with semi-decent gaming capabilities."], "output": "[['laptop general', 'positive'], ['memory design_features', 'positive'], ['laptop operation_performance', 'positive'], ['graphics general', 'positive'], ['ports quality', 'negative'], ['hardware quality', 'negative'], ['laptop price', '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 Love my new computer!", "Its fast and another thing I like is that it has three USB ports.", "I love to write and play with graphics and html programming and my new Toshiba works great on both!", "Thank you for your great product!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop miscellaneous', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great laptop for school, easy to use for beginners in the household.", "Keyboard is great but primary and secondary control buttons could be more durable.", "Battery life could be better but overall for the price and Toshiba's reputation for laptops it's great!"], "output": "[['laptop miscellaneous', 'positive'], ['laptop usability', 'positive'], ['keyboard general', 'positive'], ['keyboard quality', 'negative'], ['battery operation_performance', 'neutral'], ['laptop general', 'positive'], ['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": ["I'm very happy with my Acer, it does just for what I need it.", "Even the sound is fantastic"], "output": "[['laptop general', '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": ["This is a big disappointment.", "I only use a laptop for personal use, but this one can't even handle that!", "It takes a long time to load any page.", "I've had it for a minth and so far it's shut down completely 3 times.", "Had to call Dell to get it back online.", "I have had Dell Desktops for years, so had no qualms about buying a Dell laptop.", "Never again."], "output": "[['laptop general', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop operation_performance', 'negative'], ['laptop 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": ["Was easy to set up and has been easy to learn to use it.", "Works good and is fast enough for me.", "Good product for a good price."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['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": ["Oh my goodness-I am not a happy camper.", "My HP is very heavy.", "Not easy to carry.", "The battery has never worked well.", "The battery gets so HOT it is scary.", "Yet, HP won't do anything about the problem.", "I returned the computer to HP and they kept it for 3 months.", "When I got the computer back and realizwed it still was not correct HP told me it was out of warranty and now it was my problem.", "So, you can imagine how unhappy I am with this item.", "Currently if I use the laptop I can't sit it on my lap because it will burn my legs.", "I did contact HP and share how unhappy I am.", "Well, they don't care a bunch.", "But, at the same time they (the company) would not and could not do anything about my problem.", "I would \u00a0say if you want to buy one of these machines be careful.", "And, if you are going to deal with HP be careful.", "In my house, HP is a nasty word."], "output": "[['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop portability', 'negative'], ['battery quality', 'negative'], ['battery operation_performance', 'negative'], ['support quality', 'negative'], ['laptop 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": ["i just love this ultrabook", "i defenitly recommend it for anyone for office and home work"], "output": "[['laptop 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": ["Love the computer.", "Hate Windows 8.1!"], "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": ["I just bought this laptop 3 days ago.", "The right speaker did not work.", "I took it back to the store and exchanged it for another one.", "Again, the same problem, the right speaker did not work.", "I returned the 2nd laptop for a full refund."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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": ["The acer one compuer is a great computer.", "I didn't want to buy a generic brand computer but it is really nice.", "Its fast, has High definition quality in the videos.", "The pictures are clear as can be.", "If I had to buy another computer, I would most definetly buy an acer one computer.", "Heck, if I had enough ' money, I would but it as a gift for someone.", "Im glad that it has such great features in it.", "It also came with a built it web cam which is great because I can see an communicate with my family members back home.", "Clear picture on it and everything.", "The one down side to it is that when I play a certin game on here, it tends to freeze up sometimes, but thats the only bad thing about this computer.", "The acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it, but I like the big screen on it.", "Its good for playing my apps on Facebook or watching movies.", "Im very happy with this computer!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'conflict'], ['display quality', 'positive'], ['company general', 'positive'], ['laptop design_features', 'positive'], ['display design_features', 'positive'], ['laptop portability', 'negative'], ['multimedia_devices quality', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought it for really cheap also and it's AMAZING.", "Easy to start up and does not overheat as much as other laptops.", "Recommended to people as their first laptop."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop quality', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's fast and has excellent battery life.", "The screen shows great colors."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['display quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I know that everyone thinks Macs are overpriced and overrated, but once you get past the initial expense you'll find that they're worth every penny (besides, there's always the financing plan that Best Buy offers).", "The 13\" MacBook Pro is portable, durable, and very capable.", "It has a 10 hour battery life when you're doing web browsing and word editing, making it perfect for the classroom or office, and in terms of gaming and movie playing it'll have a battery life of just over 5 hours.", "It's also very energy efficient, running on a quarter of the power it takes to run a 60 Watt lightbulb.", "It's graphics aren't bad at all, for the lower end of the MacBook Pro spectrum, easily capable of running StarCraft II and other games with comparable graphics.", "It's also very capable of doing moderate video editing (although you may need the performance boost of the larger MacBook Pros for heavy duty mobile video editing).", "The operating system and user interface is very intuitive, and the large multi-touch track pad is amazing.", "Typically, when I purchase a new laptop I always end up using an external mouse for convenience.", "However, the multi-touch gestures and large tracking area make having an external mouse unnecessary (unless you're gaming).", "Still, this laptop is perfect for all day use at school and work.", "They also have a longer service life than other computers (I have several friends who still use the older Apple PowerBooks)."], "output": "[['laptop price', 'negative'], ['laptop quality', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['laptop miscellaneous', 'positive'], ['graphics general', 'positive'], ['os usability', 'positive'], ['mouse design_features', 'positive'], ['mouse usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is very difficult to use this computer.", "Too many steps to get anywhere and hard to set up"], "output": "[['laptop usability', '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": ["Runs Hot", "I thought we were paying for quality in our decision to buy an Apple product.", "Unfortunately, that is not the case.", "After a little more than a year of owning my MacBook Pro, the monitor has completely died.", "Because we did not purchase the extended warranty in time, we are on the hook for the repair.", "The Genius at the Apple store advised me that there was nothing about my use of the computer that caused this failure.", "In fact, he said, about 10% of their products fail.", "Hmmm - that high failure rate sure isn't reflected in the retail price."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['company general', 'negative'], ['display quality', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Terribly slow...", "Start up time took forever everything runs very slowly."], "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": ["First, it does not have a push button to open the lid.", "It is held in place magnetically.", "There is a little indent to help open it - but good luck with that.", "Once open, the leading edge is razor sharp.", "This is the complete opposite to an ergonomic design.", "Using this machine is like a mild form of torture.", "In the shop, these MacBooks are encased in a soft rubber enclosure - so you will never know about the razor edge until you buy it, get it home, break the seal and use it (very clever con).", "The much lauded combined touch pad and clicker is a nightmare.", "I lost two items I was working on until I figured out what was happening.", "Also, the space bar makes a noisy click every time you use it.", "I hate to say this, but if I could take this back to the shop and get my money back, then I would.", "It is absolutely horrible to use, despite all its so called advanced features.", "I regret buying it before understanding how awful it is to use.", "Buy this if you like being tortured, teased, frustrated and wasting twice as much time as you spent using your old Mac.", "It's a bummer and one out of five is being kind.", "My Mac has gone from being a trusted friend to an adversary.", "I'm going to try and keep my old G4 on the road for as long as possible.", "In due course, I'll remove the hard disc from this new MacBook Pro and dump it where it belongs - in the trash."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative'], ['mouse design_features', 'negative'], ['mouse operation_performance', 'negative'], ['mouse usability', '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 love this little one.", "The keyboard has a wonderful nature feel.", "I like it better than my big Dell Laptop.", "Seriously considering a larger laptop to replace the Dell"], "output": "[['laptop general', 'positive'], ['keyboard 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": ["Had to have this computer repaired twice in the first 5 months after purchasing it.", "Not good for a person who gets online daily.", "May be better for the occasional web surfer."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative'], ['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": ["Strengths:Well-shaped", "Weaknesses:A bad videocard!", "Posted Nov 8, 2010 -", "Two weeks ago I bought this notebook.", "What can I say.", "The first programm I switched on was a game for my children.", "After 20-30 min the screen of the notebook switched off.", "It was still working, but there was nothing on the screen.", "I was said it's videocard.", "Very disappointed!", "Didn't expect to repair it at once!", "Going to bring it to service today.", "Don't buy this model."], "output": "[['laptop design_features', 'positive'], ['graphics general', 'negative'], ['display operation_performance', 'negative'], ['laptop general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The image is great, and the soud is excelent.", "i love ths notebook."], "output": "[['display quality', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It has good speed and plenty of hard drive space.", "The only downfall is the volume control.", "The wheel that turns the volume up and down doesn't work in real time.", "I have to keep turning it until it decides to lower and there is no mute."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['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": ["Would be a very nice laptop if the mousepad worked properly.", "It was not responsive at all to touch.", "Very frustrating.", "And while tapping the mousepad to try to get it to work, your palm would inevitably touch the side which would pull up the side windows and block your ability to find the mouse.", "If they can fix this, I think it would be a very nice, cost-effective laptop."], "output": "[['laptop general', 'positive'], ['mouse operation_performance', 'negative'], ['mouse usability', 'negative'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I own a Hewlett Packard laptop and I've had man problems with it since I bought in in Feb, 201", "Ive had to call tech support many times.", "Each time taking about 1 day or so.", "I just recently had to ship my laptop back to HP for repair.", "I had to wait 3 weeks to get it back and it still is not working properly.", "I had to pay for the shipping!", "I will never buy anything from HP again!"], "output": "[['laptop quality', 'negative'], ['laptop general', '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 graphics are stunning.", "It's wonderful for computer gaming.", "I would definitely suggest this laptop!", "It is very user friendly and not hard to figure out at all.", "It has many great programs, such as ILife, iPhotos and others.", "iLife is easily compatible with Microsoft Office so you can send and receive files from a PC.", "In addition, all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations.", "This comes in very handy for me as an educator.", "iPhotos is an excellent program for storing and organizing photos.", "It allows you to automatically upload photos to your Facebook account with one click.", "In addition, there is photo detection software that will allow you to group all the photos together based upon the people in the picture.", "If you are looking for something reliable, this is the laptop for you.", "Even though it is much more expensive than many PC laptops, it is worth the price."], "output": "[['graphics general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['software general', 'positive'], ['software usability', 'positive'], ['software design_features', 'positive'], ['software miscellaneous', 'positive'], ['laptop quality', '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": ["Quite simply this is the best laptop I have ever owned.", "I have had several machines over the years, both for personal and business use.", "All of them were Windows machines.", "Don't get me wrong, I am no Microsoft hater, I've just managed to turn into a much bigger Apple fan because of this machine.", "For me, five stars is not enough."], "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": ["I had meant to purchase the NB205 and bought this one by accident (long story).", "I am not going to sit here and complain about it not having a cd drive and what not because it is a netbook, it is made to be compact and if you want all the other stuff get a laptop.", "Anyways I bought this two months ago and when I first brought it home it kept giving me a message about a vibration in the hard drive and it is putting it temporaly in save zone.", "So I called customer support (which is good too) and they went through it and it is just a safety feature and it does not affect performance at all, I just chose to hide the message.", "I have had the netbook for 2 months and I love it, I read some reviews that say netbooks are slow but it does not seem any slower than the other computers I use.", "Also the speakers are not very loud, But it is a netbook.", "Would HIGHLY recommend this netbook though."], "output": "[['laptop design_features', 'neutral'], ['hard_disc quality', 'negative'], ['support quality', 'positive'], ['laptop operation_performance', 'positive'], ['multimedia_devices quality', '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 have been very pleased with the performance of this laptop.", "The battery life seems to be very good, and have had no issues with it.", "Great product."], "output": "[['laptop operation_performance', 'positive'], ['battery 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": ["Its a very basic laptop.", "I thought it would have a CD-rom drive, but there isnt one.", "Also wish it had a port to plug an internet cord into it because sometimes my wifi router likes to not work.", "But for the price its good."], "output": "[['laptop miscellaneous', 'neutral'], ['laptop design_features', 'negative'], ['laptop connectivity', '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": ["Its a good laptop for its value.", "Registration/1st use is easy.", "Features like the font are very block-like and old school.", "Would like more trendy, high tech features.", "The start menu is not the easiest thing to navigate due to the stacking.", "Keys stick periodically and I havent had the laptop for 45 days yet.", "Came fully loaded - good.", "Seems to slow down occassionally but can run many applications (ie Internet tabs, programs, etc) simultaneously."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop usability', 'positive'], ['laptop design_features', 'conflict'], ['os usability', 'negative'], ['keyboard operation_performance', 'negative'], ['keyboard quality', 'negative'], ['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 love the 15\" MacBook Pro.", "My parents bought it for me as a graduation gift, and i'm totally (almost kind of maybe definitely) obsessed with it.", "It was very easy to just pick up and use--", "It did not take long to get used to the Mac OS.", "(I had been a Windows/Linux user before this)", "I love the size because the screen is big enough for what I use it for (Internet, artwork), and yet it is small enough to be reasonably portable.", "There are several programs for school or office use (Pages, Numbers, Keynote, etc.), music (Garageband), photo management (Photo Booth, iPhoto), video-editing or movie-making (iMovie), etc.", "The built-in webcam is great for Skype and similar video-chat services.", "iTunes is a handy music-management program, and it is essential for anyone with an iPod.", "The neat and organized icon list is a welcome change from cluttered and confusing desktop icons.", "All-in-all, I would definitely recommend this product for nearly everyone."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['os usability', 'positive'], ['laptop design_features', 'positive'], ['display design_features', 'positive'], ['laptop portability', 'positive'], ['software design_features', 'positive'], ['multimedia_devices miscellaneous', 'positive'], ['software usability', 'positive'], ['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Other than the slow CPU it works great for everyday use.", "Heavy gaming is definitely not it's strong point.", "The cover is a soft rubber texture without the friction.", "Slick design and looks great."], "output": "[['cpu operation_performance', 'negative'], ['laptop miscellaneous', 'conflict'], ['laptop 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": ["The computer is as expected, and worth the money.", "The 8.1 windows is a major disappointment.", "Operating a non touch screen on this system is a royal pain!"], "output": "[['laptop general', 'positive'], ['laptop price', 'positive'], ['os general', 'negative'], ['os usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It was secure and easy to navigate.", "It is everything that I would want in a computer.", "Besides the great look, it is a great machine.", "I would definitely not go back to using a PC after using the mac.", "Once again apple stands alone at the top of the charts."], "output": "[['laptop quality', 'positive'], ['laptop usability', 'positive'], ['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I purchased this netbook after my original Toshiba laptop crashed right after the warranty expired.", "Three weeks after I bought the netbook, the screen quit working.", "I baby my electronics so I know for a fact it was defective and not anything that I did to it.", "Overall I feel this netbook was poor quality, had poor performance, although it did have great battery life when it did work."], "output": "[['display quality', 'negative'], ['display operation_performance', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['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": ["It had most of the features and all of the power that I wanted to replace my desktop machine.", "I wasn't really as concerned about portability (it's a very large laptop) but it's not hard to move around or take on a trip which was a pleasant surprise.", "I'm very happy with this machine!"], "output": "[['laptop design_features', 'positive'], ['laptop 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": ["bought notebook 07/2009.", "in 5 months the connect quality got worse and worse.", "1st time they got it working the next 5 month they had me send it in.", "returned it.", "5 months dead again.", "They say sorry out of warranty.", "Summary: They played games with me for the warranty period.", "Now 17 months later they want (would not say exact amount) $165.00 to $400 to fix the machine.", "They had me send in the machine last April returned it to me in May with no documentation on what was done it anything.", "Now the machine won't connect and Toshiba says that they did replace the connection card in May but they only warranty the repair for 30 days and now I'm out of warranty even though this has been a constant 5 month occurance since I bought the netbook.", "So buyer beware when buying Toshiba"], "output": "[['laptop connectivity', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['laptop general', 'negative'], ['support 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": ["This laptop is amazing!", "Windows 8.1 has its pros and cons.", "The keyboard is backlit but you have to press the F5 key to turn it on.", "I was nervous at first that I purchased a lemon but the user manual explains how to turn on the keyboard  backlight.", "Of course this will decrease your battery life.", "The sound is very nice and crisp.", "Also, I have no regrets about going with the 8GB RAM because its super fast.", "I'm still exploring the various features but overall I am satisfied with my purchase."], "output": "[['laptop general', 'positive'], ['os general', 'neutral'], ['keyboard design_features', 'positive'], ['keyboard usability', 'neutral'], ['laptop miscellaneous', 'neutral'], ['multimedia_devices quality', 'positive'], ['memory design_features', 'positive'], ['laptop operation_performance', '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": ["Great product, very easy to use and great graphics.", "One drawback, I wish the keys were backlit.", "I'm glad I bought this laptop, it was worth the few ($100) extra dollars."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['graphics general', 'positive'], ['keyboard design_features', 'negative'], ['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 initially purchased my Macbook Pro 13\" in April, and I loved it.", "I had never owned a Mac before;", "I had always used PCs and been constantly frustrated by the crashing and the poorly designed operating systems that were never very intuitive.", "I was so happy with my new Mac.", "for 2 months.", "Then the hard drive failed;", "my information was all lost (my fault, I know, but I never thought I would need to back up my information on a brand new Mac, the paragon of all computers!", "So, after Apple replaced the hard drive I enjoyed another 4 months of my new computer, until it froze this morning--completely.", "I can't even turn it off.", "It's catatonic.", "Even if Apple replaces whatever needs replacing I wonder if, since I seem to be doubling the amount of time I get out of it each time it's \"like new,\" I might have 8 months next time.", "Oh, boy!", "I would rate this computer at 5 stars, but considering it has a short life span I can only give it 1 and implore anyone looking at laptops to stay away from this machine.", "I'm going back to PC.", "At least those computers didn't just die on me like this one."], "output": "[['laptop general', 'negative'], ['hard_disc quality', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop operation_performance', 'negative'], ['laptop 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": ["Purchased as a gift for a friend.", "The service I received from Toshiba went above and beyond the call of duty.", "My friend reports the notebook is astonishing in performance, picture quality, and ease of use.", "It is extremely portable and easily connects to WIFI at the library and elsewhere.", "Just what the doctor ordered."], "output": "[['support quality', 'positive'], ['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['laptop usability', 'positive'], ['laptop portability', '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": ["Both my husband and I have this model Toshiba.", "I love everything about it.", "The only downfall is the battery only last 1.5-2.0 hrs when not plugged in.", "I would like at least a 4 hr. battery life.", "Otherwise, all other features are a 1"], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'negative'], ['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": ["was a great deal i will give that.", "the laptop preformed pretty well.", "it cant fuction well with lots of webpages open at once.", "it has times were it freezes for 10 seconds and then starts again.", "the mouse on the pad, the left button always sticks.", "the mouse is way way way to sensitve.", "i tried turning it done but it did nothing.", "the mouse jumps around all the time and it clicks stuff i dont want it too.", "its not bad just VERY VERY annoying.", "think i would spend little extra to get a better made laptop."], "output": "[['laptop general', 'negative'], ['laptop price', 'positive'], ['laptop operation_performance', 'negative'], ['mouse operation_performance', 'negative'], ['mouse usability', 'negative'], ['mouse general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The HP Envy 15 has been everything I expected.", "After doing much research for a laptop that had all the features I was looking for, This one hit all the criteria I had.", "Amazon had the best pricing and the delivery was on time.", "The laptop is very responsice with the Core i7 processor and 8GB of RAM and the sound out of the Beats audio is great.", "I would highly recommend this product to anyone looking for a top performing laptop."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive'], ['software 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 HAS BEEN NOTHING BUT A HEADACHE SINCE WE PURCHASED IT.", "I will NEVER buy (Refurbished) again, I don't cae how cheap it is.", "I'll wait and save up for a new one.", "Just don't waste your time and money on this.", "I tried giving it 0 stars but I had to choose at least one, but IMO NO STARS"], "output": "[['laptop general', 'negative'], ['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": ["Good price.", "Basic computer.", "Didn't work when shipped from Walmart.com but went into a store and exchanged for a working laptop (same make/model).", "It has worked fine."], "output": "[['laptop price', 'positive'], ['laptop miscellaneous', 'neutral'], ['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": ["I got the black MacBook two years ago and have never regretted it.", "It was a hard decision for me since the MacBook Pro looked so appealing.", "But to be honest, I don't use my computer for anything like graphics editing and complex data analysis and gaming.", "So this was great for me.", "It has just enough RAM to run smoothly and enough memory to satisfy my needs.", "Plus it is small and reasonably light so I can take it with me to and from work.", "I also travel with it and it never gives me any problems.", "It was also cheaper than the Pro which made it even more appealing to me.", "Sadly Apple has discontinued this MacBook, I think it was never super popular since it fell somewhere in between the cheapest white model and the smaller Pros.", "But I am glad to have gotten mine right before they stopped making it.", "I look forward to years of use, it has held up well over the years and it fits my needs very well."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop price', '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": ["The apple MacBook is the best investment that I have ever made.", "I previously owned a Toshiba and it only lasted about 2 years.", "The newer MacBook that I have purchased is one of the best computers.", "I am a college student and it has been very useful.", "It has all the features that are necessary for college and if not they are able to be added onto the computer.", "It has a lot of memory and a great battery life.", "It is sleek and lightweight and charges quickly when needed.", "Its white color is stylish for college students and easy to take to carry and take to classes.", "Iphoto is great for adding pictures right to facebook and other social networking sites.", "The internet capabilities are also very strong and picks up signals very easily."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['memory design_features', 'positive'], ['battery operation_performance', 'positive'], ['laptop portability', 'positive'], ['software miscellaneous', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Winnie and her staff are the best crew you can find serving you.", "The food is reliable and the price is moderate.", "What more can you ask for?"], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', '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": ["Great place to relax and enjoy your dinner", "There is something about their atmosphere that makes me come back nearly every week.", "Place is open till late, no dress code.", "Good food: my favorite is the seafood spaghetti.", "Highly recommended!"], "output": "[['ambience general', 'positive'], ['restaurant miscellaneous', '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": ["I recently tried Suan and I thought that it was great.", "This little place definitely exceeded my expectations and you sure get a lot of food for your money.", "The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals.", "I have to say that I am pleasantly suprised and I will most likely stop in again if I am in the neighborhood."], "output": "[['restaurant general', 'positive'], ['food style_options', 'positive'], ['food prices', '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": ["As a Japanese native, I've lived in the Tristate area for over 8 years, but I was just so amazed at this place.", "This place is the most Japanese it can ever get.", "The signs, the specials menus, food, and even all the waitstaff are ALL TOTALLY Japanese.", "This place is worth an one-hour drive.", "I am so coming back here again, as much as I can."], "output": "[['restaurant general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food style_options', '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": ["I've been to at Cafe Spice probably 5-8 times, it is probably still the best Indian restaurant around Union Square.", "To sum it up: Service varies from good to mediorce, depending on which waiter you get; generally it is just average Ok. ", "Seating is always prompt, though the restaurant does fill up in the evening.", "Food is usually very good, though ocasionally I wondered about freshmess of raw vegatables in side orders.", "As many other reviewers noticed, your order is often slow to arrive - this is particularly true in the evening but is not a problem during lunch time.", "The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall, which are great for a date."], "output": "[['restaurant general', 'positive'], ['service general', 'neutral'], ['food quality', 'conflict'], ['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": ["Poor service and management", "Don\u2019t go to this place!", "Had an awful experience at Casa la Femme on a Saturday dinner.", "Appetizers took nearly an hour.", "When the main course finally arrived (another 45mins) half of our order was missing.", "Never got an explanation as to what was going on.", "The manager was rude and handled the situation extremely poorly.", "When we threatened to leave, we were offered a meager discount even though half the order was missing.", "On the way out, we heard of other guests complaining about similar issues.", "Can\u2019t believe how an expensive NYC restaurant can be so disrespectful to its clients."], "output": "[['service general', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place is a great bargain.", "Authentic Pakistani food.", "People are always friendly.", "Don't waste money on decor.", "Just straight up cheap, good food."], "output": "[['restaurant prices', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'neutral'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice Family owned traditional restaurant.", "Fresh ingredients and everything is made to order.", "I was pleasantly surprised to find this gem in Hoboken.", "Friendly staff that actually lets you enjoy your meal and the company you're with."], "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": ["love the food.", "it's the only place you can get yummy authentic japanese comfort food.", "it helps if you know what to order.", "and you can't beat the prices.", "highly recommended."], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Sushi experience was unbelievable with my fiance.", "Try it!", "Very pleased"], "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": ["This place is great.", "I had a huge group for my birthday and we were well taken care of.", "The waitress was very patient with us and the food is phenomenal!", "Service was prompt, friendly and great.", "Slightly on the pricey side but worth it!"], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', '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": ["BEST DINING EXPERIENCE IN THE WEST VILLAGE!", "Stepping into Casa La Femme last night was a true experience unlike any other in New York!", "Highly impressed from the decor to the food to the hospitality to the great night I had!", "The have a great cocktail with Citrus Vodka and lemon and lime juice and mint leaves that is to die for!", "Food took some time to prepare, all worth waiting for.", "We were drawn into the belly dancing show that captivated the crowd.", "I never write on these sites but this restaurant is def worth commending!", "Great find in the West Village!"], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['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": ["My Girlfriend and I stumbled onto this hopping place the other night and had a great time!", "THe Pizza and wine were excellent-the service too--but what really MADE this place was the backyard dining area.", "It is one the nicest outdoor restaurants I have ever seen in NY--I am from Italy and this place rivals the ones in my country.", "They tell me they are going to cover the garden in glass for the winter, so i'm looking forward to going there on a snowy night to enjoy it.", "Check this place out!", "HIGHLY RECOMMENDED!!!!!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["this little place has a cute interior decor and affordable city prices.", "the pad se ew chicken was delicious, however the pad thai was far too oily.", "i would just ask for no oil next time."], "output": "[['ambience general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'conflict'], ['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": ["What a hassle!", "The food is very good, but not outstanding.", "There is no way it justifies the accolades it receives, the attitude of the staff or the wait for a table.", "On our last visit, they skipped over our name on the list, leaving us waiting an extra hour for a table.", "Mistakes happen, but they are usually accompanied by an apology, perhaps even a glass of wine...but not the grunt that we received from the Al Di La staff.", "Without the wait or attitude, I would probably go back, but there are just too many other restaurants in Brooklyn that are as good or better and don't make me jump through hoops."], "output": "[['restaurant general', 'negative'], ['food quality', 'neutral'], ['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": ["Our first time in New York and we had to try a New York Bagel.", "We were not dissappointed in the least bit by this little gem.", "The bagel was huge.", "They were served warm and had a soft fluffy interior.", "The workers there also absolutely load the bagel with cream cheese (gets a little messy).", "I loved it and would HIGHLY RECOMMEND."], "output": "[['restaurant general', 'positive'], ['food style_options', '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": ["For a Fabulous Wedding!", "My daughter's wedding reception at Water's Edge received the highest compliments from our guests.", "Everyone raved about the atmosphere (elegant rooms and absolutely incomparable views) and the fabulous food!", "Service was wonderful;", "everyone was cheerfully cooperative and helpful.", "Paul, the maitre d', was totally professional and always on top of things.", "Thank you everyone at Water's Edge.", "Ruth, mother of the Bride"], "output": "[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['location general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Molto bene!", "This quaint and romantic trattoria is at the top of my Manhattan restaurant list.", "The food is delicious - from the specials to the regular menu-fare, the dishes are never a disappointment.", "Whether it's the parmesean porcini souffle or the lamb glazed with balsamic vinegar, you will surely be transported to Northern Italy with one bite.", "Although the tables may be closely situated, the candle-light, food-quality and service overcompensate.", "A guaranteeed delight!"], "output": "[['ambience general', 'positive'], ['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": ["This is the perfect date spot for Williamsburg couples.", "The jukebox plays everything from Italian Opera to The Strokes.", "The food is amazing, rich pastas and fresh doughy pizza.", "Best of all is the warm vibe, the owner is super friendly and service is fast.", "If only they delivered, they'd make a mint!"], "output": "[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', '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": ["I found the food, service and value exceptional everytime I have been there.", "The food was authentic.", "I felt as though I were eating in Paris.", "The service was excellent - friendly and attentive.", "The prices are wonderfully low.", "Very good wine choices."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['drinks 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": ["We went to Ino for Valentines.", "We have been to this place many times, and always have great food, wine, and service.", "We were worried we would have trouble getting in, but somehow managed to have a short wait.", "As always we had a great glass of wine while we waited.", "When we sat, we got great and fast service.", "The people that work there are always so friendly you forget you are in New York sometimes.", "Make sure you try this place as often as you can."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is some really good, inexpensive sushi.", "It costs $2 extra to turn a regular roll into an inside-out roll, but the roll more than triples in size, and that's not just from the rice.", "The spicy Tuna roll is huge and probably the best that I've had at this price range.", "The Yellowtail was particularly good as well.", "I have reservations about the all you can eat deal, however -- the choices are fairly limited and you can probably order more food than you can eat for less than $18 by just going off the menu.", "In any event, this is a place I'll be sure to stop by again when I'm in this part of town."], "output": "[['food quality', 'positive'], ['food prices', 'conflict'], ['food style_options', 'conflict'], ['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 meal in a long time!", "Mussles and calamari were superb Saturday evening.", "I had the Lamb special which was perfect.", "My father had the flank steak which was very good, and my mother had the swordfish."], "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": ["If you want something really different than try Jekyll and Hyde.", "It is a lot of fun with live entertainment and all kinds of Disney type special effects.", "The food was pretty tradional but it was hot and good with large portions.", "I highly recommend it.", "I am going to the mid town location next."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['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": ["Great sushi experience.", "Nice value.", "Unique apppetizers.", "Try sushimi cucumber roll."], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Awsome Pizza especially the Margheritta slice.", "Always busy but fast moving.", "Great atmoshere and worth every bit.", "Open late (well as late as I ever got there and I'm a night person)"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant 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": ["I stumbled upon this great pizzeria as I explored my new neighborhood.", "All of the pizzas are terrific and the price is even better!", "I highly recommend the Sophia pizza.", "It's to die for!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This restaurant was way overhyped.", "My chow fun and chow see was really bland and oily.", "Okay-i don't mind the oily part (cause most are cooked that way) but it was way too bland.", "The scallion pancakes and fried dumplings were nothing out of the ordinary."], "output": "[['restaurant general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["When we stumbled on Leon, we thought that we had found quite the gem BUT, we were certainly wrong.", "The waitress moved our table practically into the bathroom and when we asked to cancel our dinner orders because we did not want to eat sitting on the toilet, we were told no...", "Then, to top things off, she dropped used silverware on my boyfriend's jacket and did not stop to apologize or clean the mess that was left on clothes. ", "Such a disappointment...", "Rude service, medicore food...there are tons of restaurants in NY...stay away from this one"], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['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": ["Visited there while on vacation and reading the reviews.", "On a hot day it was fabulous to stop in and enjoy lunch.", "Ambience is so cute and quaint, good for business although we were there on vacation.", "Salads were fantastic.", "Although we were looking for regular lettuce and some walnuts the salads we got were great.", "Ingredients are organic which is a real plus for me.", "We will be back."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', '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 would be so much better served by being run by a group that actually understands customer service.", "The only thing you can do here is walk in and eat .. but planning an event, especially a small, intimate one, forget about it.", "They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place, but also become hostile!", "Nobody at this restaurant will give firm answers about anything and in the end, not one person takes responsibility for anything.", "Terrible, terrible management - deserves to be shut-down."], "output": "[['service general', 'negative'], ['restaurant miscellaneous', '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": ["Patsy's Pizza = true love", "Hands down the best pizza on the planet.", "My bf and I go to the walk-up counter and order a pie.", "In about 12 minutes, the thing is gone.", "Need I say more?"], "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": ["Went to Ottimo and was expecting outstanding pizza (as I love La Pizza Fresca).", "Was surprisingly disappointed.", "Pizza was a little soggy.", "Ravioli was good...but I have to say that I found everything a bit overpriced.", "Not enough wines by the glass either.", "Service, however, was excellent...and I liked the setting/atmosphere a lot. ", "Food was just average...if they lowered the prices just a bit, it would be a bigger draw."], "output": "[['food quality', 'neutral'], ['food prices', 'negative'], ['drinks style_options', 'negative'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I think I've had some the best meals of my life at minnow.", "The seafood is amazing, there's a good wine list, and the ever-changing menu always offers some great surprises.", "The combination of super-fresh ingredients in the dishes are unusual but really delicious.", "Worth the trip from Manhattan."], "output": "[['food quality', 'positive'], ['drinks style_options', '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": ["Thalia is a beautiful restaurant with beautiful people serving you, but the food doesn't quite match up.", "I ordered the smoked salmon and roe appetizer and it was off flavor.", "The entree was bland and small, dessert was not inspired.", "I expected quite a bit more from such an expensive menu."], "output": "[['service general', 'positive'], ['food quality', 'negative'], ['ambience general', 'positive'], ['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": ["great hot dogs..", "the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside.", "great toppings definitely a place you need to check out for late night munchies or a mid day boost!"], "output": "[['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Maggot in the food!", "I've been wanting to go to this place forever and finally got a table.", "The menu looked great, and the waiter was very nice, but when the food came, it was average.", "Nevertheless, I finished my plate, and that's when I found a maggot in mushroom sauce at the bottom.", "I showed it to the manager, and he smilingly apologized and brought us two free desserts (but did not ask us what we wanted and so brought the last two desserts we would have asked for).", "When the bill came, nothing was comped, so I told the manager very politely that we were willing to pay for the wine, but I didn't think I should have to pay for food with a maggot in it.", "Yes, I ate the food, but I certainly would not have if I had seen the maggot before eating, and I was at this point fairly sick to my stomach.", "The manager finally said he would comp the two glasses of wine (which cost less than the food), and made it seem like a big concession.", "We paid and left because we didn't feel like arguing any more.", "I have worked in restaurants and cook a lot, and there is no way a maggot should be able to get into well prepared food.", "For a restaurant with such a good reputation and that is usually so packed, there was no reason for such a lack of intelligent customer service."], "output": "[['food quality', 'negative'], ['food style_options', 'positive'], ['service general', 'negative'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place blew me away...by far my new favorite restaurant on the uppereast side.", "The wine list is extensive and impressive.", "LOVE the atmosphere - felt like I was in Paris.", "The mussels were fantastic and so was the dessert...definitely going to be back very soon."], "output": "[['restaurant general', 'positive'], ['drinks style_options', '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": ["One of the BEST", "Bukhara Grill, the tagline says it all.. \"INDIAN SPICE RAVE\"", "My GF and I dine at Bukhara often as she lives near it.", "The lunch buffet is expensive but is deff worth it.", "We go often for lunch and the place is packed.", "We have gone for dinner only a few times but the same great quality and service is given.", "Bukhara is on my top 5 Indian places in NYC"], "output": "[['restaurant general', 'positive'], ['food prices', 'negative'], ['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": ["I loved this place!!", "I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded.", "The food was very good, a great deal, and the place its self was great.", "The wait staff is very freindly, they make it feel like you're eating in a freindly little european town."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food 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 love this place", "I wasn't here for the pizza so I can't comment on that yet but what I had was very good.", "The service was quick and friendly.", "Everyone was smiling so that made me feel welcome.", "I thought the restaurant was nice and clean.", "I ordered the vitello alla marsala and I was pretty impressed.", "The veal and the mushrooms were cooked perfectly.", "The potato balls were not dry at all... in fact it was buttery.", "The only downside... they only take cash which is OK if you know about it ahead of time.", "I'll be back for sure."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['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": ["If we were to move from the upper east side, we would genuinely miss this restaurant.", "We've lived in the area for more than 8 years.", "The restaurant is cute but not upscale.", "The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes.", "I would highly recommend it.", "It's one of our favorite places to eat in NY."], "output": "[['ambience general', 'neutral'], ['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": ["This is such a lovely, peaceful place to eat outside.", "The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty.", "It is set far from the small street it's on, and there is no traffic noise.", "The food is good, especially their more basic dishes, and the drinks are delicious.", "This is a great place to take out-of-towners, and perfect for watching the sunset."], "output": "[['ambience general', 'positive'], ['location 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": ["We visited Orsay during NY Restaurant Week and tried their $35 menu.", "Service was very good - prompt, attentive and non-intrusive.", "Food was very good as well, considering that we tried the budget selection (though I wish the pork belly that I ordered was roasted a bit longer, so that fat was more of a melt-in-your-mouth experience).", "Wine list selection is good and wine-by-the-glass was generously filled to the top.", "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": "[['service general', 'positive'], ['food quality', 'positive'], ['drinks style_options', 'positive'], ['ambience general', 'conflict'], ['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's a perfect place to have a amanzing indian food.", "I really loved the different and inovated touch that's the cheff gives to the food.", "also it's great to have dinner in a very romantic and confortable place, the service it's just perfect...they're so frendly that we never want to live the place!"], "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": ["This has got to be one of the most overrated restaurants in Brooklyn.", "The pizza is overpriced and soggy.", "Yes, they use fancy ingredients, but even fancy ingredients don't make for good pizza unless someone knows how to get the crust right.", "A big disappointment, all around."], "output": "[['restaurant general', 'negative'], ['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": ["The Four Seasons restaurant is a great experience.", "The food is great and the environment is even better.", "Everyone must come here at least once.", "Highly recommend it!"], "output": "[['restaurant general', 'positive'], ['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": ["honestly the worst sushi my husband and i had in our entire lives.", "believe us, we've been eating sushi for over 15 yrs.", "not sure why this restaurant would be rated that highly.", "the all-u-can-eat sushi is definitely in very poor quality.", "limited menu, no-so-fresh ingredients, thinly-sliced fish, fall-apart rice. ", "the only things u could really taste are the very salty soy sauce (even its low sodium), the vinegar-soaked rice, and the scallion on top of the fish. ", "the waitstaffs are nice though.", "wont come back again for sure!"], "output": "[['food quality', 'negative'], ['restaurant general', 'negative'], ['food style_options', 'negative'], ['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 just read Mocaramel's review and felt compelled to respond.", "I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna.", "Over the years the host, Vittorio, and his crew, have always treated me as family--although with all the business this not-so-little gem does, it amazing he's even able to remember a consistent but not-so-frequent visitor.", "I've also been amazed at all the new additions in the past few years: A new Jazz Bar, the most fantastic Dining Garden, the Best Thin Crust Pizzas, and now a Lasagna Menu which is to die for (these are not your average lasagnas)!", "I lOVE THIS PLACE!", "Keep up the good work guys!"], "output": "[['service general', 'positive'], ['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": ["Lucky Strike is a great casual place to just grab a bite to eat.", "Yeah the crowd can take it a bit seriously, but it shouldn't.", "Great food, great decor, great service.", "I recommend it!", "Just ignore the trendy wannabes."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We ate outside at Haru's Sake bar because Haru's restaurant next door was overflowing.", "What's the difference between the two?", "Their sake list was extensive, but we were looking for Purple Haze, which wasn't listed but made for us upon request!", "The spicy tuna roll was unusually good and the rock shrimp tempura was awesome, great appetizer to share!", "We went around 9:30 on a Friday and it had died down a bit by then so the service was great!"], "output": "[['drinks style_options', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They forgot a sandwich, didn't include plastic forks, and didn't include pita with the hummus platter.", "Also, the sandwiches (nearing $7) didn't come with anything like chips or a side.", "Overall, not worth the money.", "Eating in, the atmosphere saves it, but at your desk, it's a very disappointing experience."], "output": "[['service general', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative'], ['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": ["So rude!!!", "I went with JWILS.", "Her review is above.", "I was one of the people that went for this horrible experience.", "My friend is 100% right in the experience we had.", "The hostess was rude and I got a distinct feeling that they did not want to serve us.", "The only thing that my friend left out is that when we sat down at the bar the bartender disappeared.", "I asked for a menu and the same waitress looked at my like I was insane.", "I was shocked that my friends wanted to stay after the waitress said, \"can I help you\" and \"how many are in your party.\"", "What?", "The three of us standing in front of her should have been an indication of how many of us there were.", "We didn't look like the other patrons in there so unfortunately I think that may have been part of the problem.", "Shame on this place for the horrible rude staff and non-existent customer service."], "output": "[['service general', 'negative'], ['restaurant general', '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": ["I had my eyes on this place, promising myself I will one day 'give it a try.' ", "And I hate to say this but I doubt I'll ever go back. ", "The food is very average...the Thai fusion stuff is a bit too sweet, every thing they serve is too sweet here.", "The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree.", "I had never had Edamame pureed before but I thought it was innovative and tasty (could've used a bit more salt).", "Anyways, if you're in the neighborhood to eat good food, I wouldn't waste my time trying to find something, rather go across the street to Tamari.", "The decor is night tho...but they REALLY need to clean that vent in the ceiling...its quite un-appetizing, and kills your effort to make this place look sleek and modern."], "output": "[['restaurant general', 'negative'], ['food quality', 'conflict'], ['food style_options', 'positive'], ['ambience general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I was here a few weeks back and we had the worst customer service experience at a restaurant ever.", "A gentleman, maybe the manager, came to our table, and without so much as a smile or greeting asked for our order.", "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 ", "While it is understandable that every place is indeed different, there was not a need to be uncourteous to customers and downright rude.", "The service was poor, restaurant poorly lit, staff not very attentive and I would have rather eaten at a Mcdonald's than this joint.", "Never again!"], "output": "[['service general', 'negative'], ['restaurant 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": ["Best restaurant in Brooklyn", "The best!", "Great food, amazing service, this place is a class act.", "The veal was incredible last night.", "Fresh, mind blowing flavors.", "This place is a must visit!"], "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": ["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.", "Even after they overcharged me the last time I was there.", "Make sure you have the Spicy Scallop roll.. .", "it's delicious!"], "output": "[['restaurant general', 'positive'], ['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": ["I was speechless by the horrible food.", "I attended a holiday dinner at the restaurant, and the food was majorly disappointing.", "Rather than eating the meat entree being offered, I requested a vegetarian dish.", "Rather than preparing vegetarian dish, the chef presented me with a plate of steamed vegetables (minus sauce, seasoning, or any form or aesthetic presentation).", "I was so stunned, and I left the dinner hungry and majorly disappointing.", "This place survives on reputation alone.", "I will NEVER return."], "output": "[['food quality', 'negative'], ['service general', 'negative'], ['food style_options', 'negative'], ['restaurant general', '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": ["I tend to judge a sushi restaurant by its sea urchin, which was heavenly at sushi rose.", "It melted in my little mouth and the perfect consistency-not too fishy, creamy, and slightly buttery.", "The sushi seemed pretty fresh and was adequately proportioned.", "The rice to fish ration was also good--they didn't try to overpack the rice.", "We took advanatage of the half price sushi deal on saturday so it was well worth it."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Got a date? Go here!", "Every time I have a special occasion with my boyfriend I have a hard time going anywhere else.", "It is so romantic.", "Its dark, and cozy.. there is always jazz music playing when we go.", "Most of the booths allow you to sit next to eachother without looking like 'that' couple.", "The food is all shared so we get to order together and eat together.", "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).", "Once you try it for a special occasion beware.. you can't stop!", "You'll be ther for every anniversary, birthday, valentines day..."], "output": "[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['food style_options', '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": ["I'm still mad that i had to pay for lousy food.", "The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed.", "Service was also horrible and the ambience is not that great.", "DO not try unless you're just going there to hang out like the rest of the hipsters who apparently have no sense of taste."], "output": "[['food quality', 'negative'], ['service general', 'negative'], ['ambience general', 'negative'], ['restaurant miscellaneous', '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 have to agree with the previous reviewer.", "I don't get it either.", "Not impressed with the food.", "Prices too high for this cramped and unappealing resturant.", "Zero ambiance to boot."], "output": "[['food quality', 'negative'], ['restaurant prices', 'negative'], ['ambience 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": ["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!", "We weren't!", "The prices were CHEAP compared to the quality of service and food.", "We liked it so much, that we will always make it a point to dine here when we visit New York."], "output": "[['restaurant general', 'positive'], ['restaurant prices', '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": ["Favorite Sushi in NYC", "I have eaten at some of the 'best' sushi joints in NYC (Nobu, Bond Street, JewelBako, etc) and Yamato is my favorite.", "An unpretentious spot in Park Slope, the sushi is consistently good, the service is pleasant, effective and unassuming.", "In the summer months, the back garden area is really nice.", "The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food.", "The Dancing, White River and Millenium rolls are musts."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service 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": ["fresh restaurant was amazing........ food was delicious and of course fresh.", "great for a romantic evening, or a fun evening with friends...", "I will be going back very soon.", "keep up the good work.", "Hats off to the chef."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I like Cafe Noir dont get me wrong, it is jsut that the people who work there are evil and incompetent!!", "The service was terrible, we had to wait for everything and ask several of different people for the same thing before we were allowed to be served.", "The waitress, seems to be more concerned of looking good than actually waitressing.", "After dinner the manager grabbed my boyfriend, asked him: Where are you from...maybe you dont know how things work in America...and in the end stormed away almost teareyed yelling that tips are the only thing they survive on.", "We did tip, I guess the model/waitress just wanted more and complained to the manager.", "The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff, because despite the current one this is a great place."], "output": "[['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": ["Have eaten at Ginger House several times, and it's always good.", "The fried dumplings are GREAT!", "Finally a reliable Chinese restaurant!"], "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": ["Growing up in NY, I have eaten my share of bagels.", "Ess-A-Bagel (either by Sty-town or midtown) is by far the best bagel in NY.", "The bagels always warm, soft on the inside, crispy on the outside and enormous in size.", "They have a huge selection of different cream cheeses and all of their salads are great.", "The lox is always fresh too.", "Highly recommended to all!"], "output": "[['food quality', '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": ["Having hunted around for a quiet, romantic, yet not hideously expensive restaurant I stumbled across reviews for La Lanterna and gave it a shot.", "Quite simply it's like stepping out of Manhattan and into a haven of tranquility.", "The service was attentive, yet unimposing, the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced.", "The Prix Fixe menu is worth every penny and you get more than enough (both in quantity AND quality).", "I will be going back and heartily recommend it!"], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['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": ["I thought going to Jimmys would give me a real Domincan exprience.", "Jimmy is Dominican!", "Well, this place is so Ghetto its not even funny.", "If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you'll love it here.", "Would NEVER go back there.", "Too bad Latin Quarters closed.", "That place was awesome,,,  sally !"], "output": "[['ambience general', 'negative'], ['drinks 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": ["Once you step into Cosette, you're miraculously in a small, off-the-beaten path Parisian bistro.", "This tiny restaurant is as cozy as it gets, with that certain Parisian flair.", "The food was average to above-average; the French Onion soup filling yet not overly impressive, and the desserts not brilliant in any way.", "However, go for the ambience, and consider the food just a companion for a trip across the world!"], "output": "[['ambience general', 'positive'], ['food quality', 'neutral'], ['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": ["I have never before eaten 40 pieces of relatively good nigiri.", "Stuffing yourself with Japanese food is a rare thing.", "You can do it here.", "$20 for all you can eat sushi cannot be beaten."], "output": "[['food quality', 'neutral'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I went here with a friend on a whim, we went someplace else first and couldn't get a table.", "Service here was great, food was fantastic.", "Guacamole+shrimp appetizer was really great, we both had the filet, very good, didn't much like the frites that came with, but the filet was so good, neither of us cared.", "Will absolutely visit again.", "Maybe tomorrow ;-)"], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The tuna and wasabe potatoes are excellent.", "The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful.", "Inside is a little cramped, but to be expected.", "Service was prompt and courteous.", "This was a repeat visit and we'll definitely be back again."], "output": "[['food quality', 'positive'], ['location general', 'positive'], ['ambience general', 'neutral'], ['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": ["I've eaten at Pizza Gruppo a few times, but more often I order delivery.", "The food is great.", "Personal pans are the perfect size for those hungry nights.", "I heartily recommend.", "There is a downside if you're ordering in -- the delivery guys have MAJOR attitude.", "Never have I had such dramatic delivery guys (a lot of huffing and panting and muttering under breath b/c I live in a walkup) who always seem disappointed with their tips.", "Hey, I think $2+ for a 5 block walk ain't bad."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant general', '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": ["Unhygienic", "I do not recommend.", "I went there 2times .", "I got hair in my food 2 times of then !"], "output": "[['food 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": ["Went there for an office lunch.", "The location and ambience is Ok but the food is what makes up for it.", "There is a lot of variety even for people who eat vegetarian like me.", "Try green curry with vegetables.", "The quantity is also very good, you will come out satisfied.", "The service is ok, some of the people didn't get what they asked for."], "output": "[['location general', 'neutral'], ['ambience general', 'neutral'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service 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": ["The food here is rather good, but only if you like to wait for it.", "I like the somosas, chai, and the chole, but the dhosas and dhal were kinda dissapointing.", "The service varys from day to day- sometimes they're very nice, and sometimes not.", "The kitchen however, is almost always slow.", "Also, specify if you like your food spicy- its rather bland if you don't.", "The ambience is pretty and nice for conversation, so a casual lunch here would probably be best."], "output": "[['food quality', 'conflict'], ['service general', 'negative'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["amazing fresh dogs but best of all endless toppings!!!", "this place had ALL the trimmings and i mean all.", "peppers, onions, relish, chilli, cheeses, you NAME it.", "amazing fun for hot dog lovers of all ages PLEASE do yourself a favor and check this place out!!!!"], "output": "[['food quality', '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": ["By far the best salad I have had in a fast food restaurant.", "fine dining restaurant quality.", "Over 100 different choices to create your own.", "A must try!"], "output": "[['food quality', '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": ["Great Indian food and the service is incredible.", "The owner truly caters to all your needs.", "When family came in he gave them apps to test their palets, and then ordered for them.", "Everyone was more then happy with his choices.", "Great food and the prices are very reasonable."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["What a great place.", "I came into the city to try out this restaurant because a friend had recommended it to my husband.", "The ambience was so fun, and the prices were great, on top of the fact that the food was really tasty.", "I wasn't thrilled to have to wait on line for thirty minutes, but I guess that's the price you pay for a popular place.", "I would definitely recommend SEA if you like thai cuisine!"], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['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": ["Went here on a friend's reccomendation.", "Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese....both very tasty.", "We both opted for a pasta dish and they were served timely and fresh.", "We concluded with tiramisu chocolate cake, both were delicious.", "We'd go back again"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Whenever you need a Sushi fix, Mizu will be there with quality fish and great service.", "Delivery is fast too.", "Great friendly service, Fast seating, Fast Delivery, Excellent sushi.", "A little overpriced but worth it once you take a bite."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['food prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place doesn't make any sense", "Just want to warn you all - don't waste your time and money.", "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...", "This place is not inviting and the food is totally weird.", "The concept of japanese tapas is newly created and clearly doesn't work.", "The food they serve is not comforting, not appetizing and uncooked.", "Go to japanese sushi place or Spanish tapas place - this creation in Williamsburg is a misstake."], "output": "[['restaurant general', 'negative'], ['ambience 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": ["The service was the only thing good about this restaurant.", "It's boring on the inside, and our sushi was pretty below average... the tuna was soggy and the other rolls had no flavor.", "I definitely wouldn't go back."], "output": "[['service general', 'positive'], ['restaurant general', 'negative'], ['ambience general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I went to Areo on a Sunday afternoon with four of my girlfriends, and spent three enjoyable hours there.", "The restaurant was packed at first, so we waited at the bar for about 20 minutes before we were seated.", "Most of the servers are very attentive, friendly and quite attractive.", "The atmosphere was mostly of an older crowd, but there were a few groups of mid 20's/30 year olds also.", "The vibe is very relaxed and cozy, service was great and the food was excellent!", "Me and my girls will definitely go back."], "output": "[['restaurant general', 'positive'], ['service 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": ["As a retired hipster, I can say with some degree of certainty that for the last year Lucky Strike has been the best laid-back late night in the city.", "The wait staff is pleasant, fun, and for the most part gorgeous (in the wonderful aesthetic beautification way, not in that she's-way-cuter-than-me-that-b@#$* way).", "The food is yummy, especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries.", "But the best part about LS is the late night atmosphere, delightfully free of the BTs.", "You can get a completely delish martini in a glass (that's about 2 1/2 drinks) for $8.50 (I recommend the Vanilla Shanty, mmmm!) in a great homey setting with great music.", "The in-house lady DJ on Saturday nights has outrageously good taste in music, and moreover, takes requests.", "You can't go wrong with this place."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['drinks quality', 'positive'], ['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": ["First of all Dal Bukhara Rocks.", "As a student in NYU i need a place to eat after a hard day of work so usually i just go to any indian restraunt near by. ", "but ive heard a lot about this for the past 2 yrs and finally decided to eat here.", "I am happy i did the food was awsome.", "JUST AWSOME.", "and yes Dal Bukhara is so dam good and so are all the kababs.", "They are opening two more places as i saw a flyer there one in Yonkers which is a restraunt and banquet hall and another one in parsipanny new jersey.", "but overall i give it a 10", "10"], "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 come from a family of pizzeria owners, and I'm almost ashamed to say that the pizza in Fornino's blows my families receipies away.", "It is simply amazing.", "The place is so cool and the service is prompt and curtious.", "I highly recommend to anyone to give this place a try.", "You will find yourself returning quite often.", "P.S. Please don't tell anyone in my family i eat there.", "LOL"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing more wonderful than the food (which is exceptional) is the service.", "The only thing the waiters don't do for you is wipe your chin when you leave.", "Wonderful at holiday time."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've eaten at many different Indian restaurants.", "But after last night, Spice Grill is the only place I'm eating indian cuisine.", "You must try the shrimp appetizers.", "Even my Indian friend couldn't believe how good and tasty everything was.", "This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["short and sweet \u2013 seating is great:it's romantic,cozy and private.", "The boths are not as small as some of the reviews make them out to look they're perfect for 2 people.", "The service was extremely fast and attentive(thanks to the service button on your table) but I barely understood 1 word when the waiter took our order.", "The food was ok and fair nothing to go crazy.", "over.", "Over all the looks of the place exceeds the actual meals.", "So what you really end up paying for is the restaurant not the food.", "Will prob. not return but it is a great dinning experience to try atleast once."], "output": "[['ambience general', 'positive'], ['service general', 'conflict'], ['food quality', 'neutral'], ['restaurant prices', 'negative'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I grew up on these bagels.", "The staff is no nonsense.", "The food options rule.", "When I lived upstate for a while I would buy freeze the bagels and they would still be better than any else.", "Worth visiting the 1st Ave spot because it is the original store."], "output": "[['service general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Maitre-D-\"Eat and get out\"", "My family ate here last weekend.", "The food and service were fine, however the maitre-D was incredibly unwelcoming and arrogant.", "While finishing our meals which included a high-end bottle of wine, our son's fiance joined us for a glass of wine and dessert.", "This guy refused to seat her and she left, followed shortly by the four of us, but not before I told him that in my 40 years of world travel, including Paris, that I had never seen such a display of bad behavior by a frontman in a restaurant.", "His response was smug, arrogant, and condescending, totally consistent with his deportment on display all evening.", "A word to the wise: you can't dine here and disturb the maitre-D's sense of \" table turnover\", as whacked as it is, or else.", "If you go here, do it on his off-night."], "output": "[['service general', 'conflict'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Cozy romantic atomosphere with only around 15 tables at most.", "Service was very prompt but slightly rushed.", "Food was very good, but not what I would consider out of this world.", "Go here for a romantic dinner but not for an all out wow dining experience."], "output": "[['ambience general', 'positive'], ['service general', 'conflict'], ['food quality', 'neutral'], ['restaurant miscellaneous', 'negative'], ['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't be fooled by crowds of people.", "The service is awful.", "This place is not worth the prices.", "Also, don't plan on asking for your favorite roll, if it's not on the menu, you can't have it."], "output": "[['service general', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Went there with my wife and we had to wait for a table even though you could see there many that were empty with not reservation sigh on them.", "Service was slow had to wait to order and get food although not crowded.", "Drinks way over priced.", "Food was good not great not worth the wait or another visit"], "output": "[['service general', 'negative'], ['drinks prices', '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": ["We have tried every Thai restaurant between Atlantic Avenue and 4th Streets, and Joya is the best.", "The freshest, best variety, and the fastest delivery.", "Also very inexpensive.", "A great choice at any cost and a great deal."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you are the type of person who likes being scared and entertained, this is a great place to go and eat.", "My husband and I thougt it would be great to go to the Jekyll and Hyde Pub for our anniversary, and to our surprise it was fantastic.", "The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious, if I must recommend a dish it must be the pumkin tortelini.", "The entertainment was great they have shows that go on through out the dinner.", "Please take my advice, go and try this place.", "Its located in greenewich village.", "You will not be disapointed at all."], "output": "[['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive'], ['drinks style_options', 'positive'], ['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": ["Do not get the Go Go Hamburgers, no matter what the reviews say.", "They were such a rip-off ($8.95 for four small meat patties in steamed buns) and not worth trying.", "The rest of the dim sum, though pricey by Chinatown standards, is worth it.", "Steamed fresh so brought hot hot hot to your table.", "The wait here is long for dim sum, but if you don't like sharing tables or if the typical raucous dim sum atmosphere is not your gig, this is a sleek (for Chinatown) alternative.", "A few tips: skip the turnip cake, roast pork buns and egg custards.", "These are overpriced and you can get better just around the corner:", "(1) turnip cakes at the little kiosk on east side of Mott St. just south of bayard", "(2) egg custards and pork buns at either bakery on west side of Mott street just south of Canal."], "output": "[['food quality', 'conflict'], ['food style_options', 'negative'], ['food prices', 'negative'], ['service general', 'negative'], ['ambience general', 'negative'], ['restaurant miscellaneous', '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": ["Fabulous food - if the front of house staff don't put you off \u2013 ", "We live nearby BFC. ", "It's a little out of our price range for dining there except on special occasions, but we've eaten there 6 times in the last 2 years. ", "Each time we've been, the front of house staff (not the waiters - they're fantastic - but the people who greet and seat you) has been so hideous to us that were it not for the exceptional fish dishes I would never return. ", "As BFC doesn't take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated, which can be over an hour later!", "The frizzy retro girl (with winged/ Dame Edna glasses) will yell at you if you try to order a drink. ", "I was almost amused by the fact that she was turning away customers at 9pm on a Friday night because she \"had a BBQ to go to\" that night - WTF??", "I'd be horrified if my staff were turning away customers so early and so rudely!", "There's another girl who I can't describe, she is about 5'6\" with brown hair, who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said, so her uninvited opinions are often out of context and nothing to do with what you're *really* talking about. ", "I'm a friendly person, so I wouldn't mind had she not been so nasty and gotten so personal. ", "Again, I'd be super upset if that were my employee.", "Considering you will spend at least $60 a head, I expect better service. ", "So, if you're walking by and thinking about dining, you might want to see who's going to be seating you first..."], "output": "[['food quality', 'positive'], ['service general', 'conflict'], ['restaurant prices', 'negative'], ['restaurant miscellaneous', 'negative'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Have frequented 'ino for several years and the food remains excellent.", "Cheese plate is a varied delight and great bargain at $10.", "The large selection of bruschettas, paninis, tramezzinis keep the palate from stagnating.", "(The asparagus, truffle oil, parmesan bruschetta is a winner!)", "Wine list is extensive without being over-priced.", "Be sure to try the seasonal, and always delicious, specials.", "Definitely a neighborhood favorite."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['drinks style_options', 'positive'], ['drinks prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place, which is only a few months old, is perhaps Queens' biggest secret!", "Fabulous decor - makes you feel like you're in a trendy Manhattan restaurant, very very good food, cheaply-priced, generally friendly staff, and if you're a Manhattanite, or spend most of your time in Manhattan, Rice Avenue will make you feel at home.....very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele.....all on Roosevelt Avenue!"], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['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": ["To celebrate a birthday, three of us went to Mare anticipating great food.", "Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring.", "Fish was overdone.", "Cute place, nice wait staff but would never go there again.", "Someone else recommended the dessert - we also left that.", "One of us actually liked the expresso - that's it.", "Skip this restaurant, it's a big disappointment."], "output": "[['food quality', 'negative'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I stumbled upon this second floor walk-up two Fridays ago when I was with two friends in town from L.A. ", "Being serious sushi lovers, we sat at the sushi bar to be closer to the action.", "I asked the chef what he recommends and he asked me if I like Uni. (", "For those of you who don't know, Uni is Sea Urchin in Japanese, which happens to be my favorite.) ", "He served me an Uni Hand roll, which I never had before, and let me tell you...IT WAS HEAVEN!", "Aside from the Sea Urchin, the chef recommended an assortment of fish including Fatty Yellow Tail, Boton Shrimp, Blue Fin Torro (Fatty Tuna), Sea Eel, etc.", "The sake menu should not be overlooked!", "All in all, this midtown gem instantly became one of my favorite sushi restaurants in the city.", "Try the lobster teriyaki and the rose special roll."], "output": "[['food quality', 'positive'], ['drinks 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": ["Expensive", "I went there after hearing how great it was.", "Wow.", "The bread was stale, the salad was overpriced and empty.", "The pasta was well cooked, didn't have enough sauce though or flavor.", "I though it was expensive and I prefer Bella Via just blocks away by far."], "output": "[['restaurant prices', 'negative'], ['food quality', 'negative'], ['food prices', '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": ["Went to Cafe Spice with 4 of my friends on a saturday night.", "We were greeted promptly by the waiter who was very nice and cordial.", "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.", "We were fast to order the appetizer platter since we were very hungry.", "The food looked very appetizing and delicious since it came on a variety of fancy plates.", "We ended our great experience by having Gulab Jamun (dessert) recommended by the waiter.", "I thanked my friend who recommended me this restaurant and will certainly recommend it to others."], "output": "[['service general', 'positive'], ['food quality', '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": ["I love Indian food and consider myself to be quite an expert on it.", "Chennai Garden is my favorite Indian restaurant in the city.", "They have authentic Indian at amazin prices.", "This restaurant is VEGETARIAN; there are NO MEAT dishes whatsoever.", "The seats are uncomfortable if you are sitting against the wall on wooden benches.", "It's a rather cramped and busy restaurant and it closes early."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['food style_options', 'negative'], ['ambience general', '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": ["You want to have a real hot dog in Brooklyn?", "Skip Nathan's...you can get that at the mall...go to Bark.", "Delicious, creative and fun."], "output": "[['food quality', '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": ["I went to this restaurant with a woman that I met recently.", "She lives nearby but had never gone to this establishment thinking that it might be too touristy.", "Surprisingly nothing could be further from the truth.", "In the evening, this place attracted a well dressed, with it, NY crowd.", "The food was well prepared and the service impecable.", "I'm going back."], "output": "[['restaurant miscellaneous', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't dine at Tamarind for the vegetarian dishes, they are simply not up to par with the non-veg selections.", "Decor is nice though service can be spotty.", "This place is always packed.", "I know because I live nearby.", "Most importantly, food is excellent.", "Try the sea bass.", "Highly recommended."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'negative'], ['restaurant miscellaneous', 'neutral'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I haven't been to the other locations.", "Haru on Park S is simply disgusting.", "The fish was not fresh and the rice tasted old and stale.", "Quite frankly, this is some of the worst sushi I have ever tried.", "Will never be back."], "output": "[['restaurant general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Went here last night - nice decor, good service, but the food was surprisingly excellent.", "The portions are HUGE, so it might be good to order three things to split (rather than one appetizer and entree per person) for two people.", "Among all of the new 5th avenue restaurants, this offers by far one of the best values for your money.", "Can't wait to go back."], "output": "[['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['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": ["We had the lobster sandwich and it was FANTASTIC.", "My husband said he could've eaten several more, the portion was fine for me he even exclaimed that the french fries were the best he has had.", "We had the scallops as an appetizer and they were delicious and the sauce was wonderful.", "I recommend getting a reservation even though we saw people seated without one.", "We waited at the bar and had martinis that were just right.", "We will be back."], "output": "[['food quality', 'positive'], ['food style_options', 'conflict'], ['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 come here enjoy very much with husband.", "Remind me of home.", "Great survice"], "output": "[['restaurant general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["After passing by this restaurant for sometime I finally decided to go in and have dinner.", "I was pleasantly suprised.", "The food was exceptional.", "The menu consisted of standard brassiere food, better then places like Balthazar etc.", "I choose to go with one of the special, the braised lamb shank in red wine, which was excellent.", "The service was friendly and the atmosphere was casual.", "The restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'neutral'], ['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 an amazing place to try some roti rolls.", "I really recommend the very simple Unda (Egg) rolls.", "Delicate spices, onions, eggs and a kick-ass roti.", "Amazing!"], "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 have eaten at Saul, many times, the food is always consistently, outrageously good.", "Saul is the best restaurant on Smith Street and in Brooklyn.", "The duck confit is always amazing and the foie gras terrine with figs was out of this world.", "The wine list is interesting and has many good values.", "For the price, you cannot eat this well in Manhattan."], "output": "[['food quality', 'positive'], ['restaurant general', 'positive'], ['drinks style_options', 'positive'], ['drinks prices', '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 have been to Rao's probably 15 times the past 3 years and it keeps getting better.", "For those that go once and don't enjoy it, all I can say is that they just don't get it.", "Rao's has the best service and atmosphere in NYC.", "Good luck getting a table."], "output": "[['restaurant general', 'positive'], ['restaurant miscellaneous', 'neutral'], ['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": ["Great pizza and fantastic service.", "There was a small wait, but shorter than I expected.", "Located at the end of a magnificent block.", "Very cozy and warm inside.....", "I will be back!"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['location general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We went here for lunch a couple of weeks ago on a Saturday, and I was thoroughly impressed with the food.", "The pesto pizza was excellent, thin-crust pizza with a nice amount of spicy Italian cheese that I'd never heard of before.", "Conveniently located too, being right on Bedford ave.", "THe back garden sitting area is very pleasant, where you can see their personal herb garden.", "I will definetly be going back."], "output": "[['food quality', 'positive'], ['location general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I cannot imagine a friendlier staff working in a restaurant.", "I cannot imagine better Indian food in all of the city.", "I cannot imagine you not rushing out to eat there."], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Excellent food, although the interior could use some help.", "The space kind of feels like an Alice in Wonderland setting, without it trying to be that.", "I paid just about $60 for a good meal, though :)", "Great sake!"], "output": "[['food quality', 'positive'], ['ambience general', 'negative'], ['food prices', '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 recently went to this restaurant with some co-workers for lunch and had an amazing time.", "The staff was accomodating, the food was absolutely delicious and the place is lovely.", "We even had a visit from the Manager who wanted to make sure we were enjoying ourselves.", "Yes, the prices are high, but I felt it was worth it.", "We all felt it was worth it."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['ambience general', '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": ["This is the perfect spot for meeting friends, having lunch, dinner, pre-theatre or after-theatre drinks!", "(Always ask the bartender for the SEASONAL beer!!!", "Guaranteed to be a tasty experience!)", "Excellent spot for holiday get togethers with co-workers or friends that you haven't seen in a while.", "I have been doing all of the above at the Heartland Brewery for over 5 years now and I HAVE NEVER BEEN DISAPPOINTED!", "All the people that I bring there go back on their own and bring THEIR friends!", "Go there once and oh yes...you will go back...you will..."], "output": "[['restaurant miscellaneous', '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": ["The Cypriot restaurant has a lot going for it.", "But the best pork souvlaki I ever had is the main thing.", "Trust me.", "Run don't walk."], "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": ["The atmosphere is nothing special, but it feels like a Sushi establishment in Tokyo.", "The owner and staff are all Japanese as well and that adds to the entire ambiance.", "Despite a slightly limited menu, everything prepared is done to perfection, ultra fresh and a work of food art.", "I must give it Yon out of Yon stars!", "Taxan delicious!", "Arigato Gozimas Yuka!"], "output": "[['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food quality', '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": ["Great spot, whether looking for a couple of drinks or quiet dinner.", "Warm and friendly in the winter and terrific outdoor seating in the warmer months.", "The food is great and they have a good selecion of wines at reasonable prices.", "Have been several times and it never dissapoints."], "output": "[['restaurant general', 'positive'], ['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['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": ["Compared to Ess-a, Tal offers a less doughy bagel!", "They even scoop it out nice (for those on a diet) not too much not to little.", "The cream cheeses are out of this world and I love that coffee!!", "A little crowded but they move that line really fast!", "A little pricey but it really hits the spot on a Sunday morning!"], "output": "[['food style_options', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['restaurant miscellaneous', 'negative'], ['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Best In ALL of NYC", "This is the MOST wonderful restaurant in all of New York City, not just Brooklyn...", "for 7 years they have put out the most tasty, most delicious food and kept it that way...", "never swaying, never a bad meal, never bad service...", "I'm telling you...", "you should travel from the Bronx to try it...", "great food, great wine list, great service in a great neighborhood...", "so delicious!!!!!!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['drinks style_options', '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": ["We ate at this Thai place following the reviews but very unhappy with the foods.", "We thought that this place is using too much of MSG cooking in the foods.", "Why?", "They don't concern much of customer's health, just want to make money.", "please don't fool us."], "output": "[['food 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": ["The drinks are always welll made and wine selection is fairly priced.", "Try their chef's specials-- they are to die for.", "Service is not exactly five star, but thats not really a big deal.", "Downstairs lounge is always a good attraction"], "output": "[['drinks quality', 'positive'], ['drinks prices', 'positive'], ['food quality', 'positive'], ['service general', 'neutral'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have known about this secret for the last 13 years, Emilio(the Godfather) has continued to serve food and wine for the gods at mortal prices.", "If you go, try the marinara/arrabiatta sauce, the mozzarella en Carozza is mmmmmmmm..... everything is just delicious.", "Check out the secret back room.", "Old school meets New world.", "I pray it stays open forever.", "Thank You Emilio.", "Ciao Bella"], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['food prices', 'positive'], ['drinks prices', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Red Dragon Roll - my favorite thing to eat, of any food group - hands down", "Just go to Yamato and order the Red Dragon Roll.", "If you don't like it, I don't know what to tell you.", "The Seafood Dynamite is also otherworldly.", "I'm not even going to bother to describe it; it speaks for itself."], "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": ["This place has got to be the best japanese restaurant in the new york area.", "I had a great experience.", "Food is great.", "Service is top notch.", "I have been going back again and again."], "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": ["Very affordable and excellent ambient!", "We ordered some beef and noodle soup dishes from the Thai section of the menu but nothing we got was Thai.", "We were very disappointed.", "We won't go to this place again for a good meal.", "However, I think this place is a good hang out spot.", "Next time, we wouldn't dare ordering anything else other than some simple Asian appetizers and drinks."], "output": "[['ambience general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'negative'], ['restaurant general', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This small Astoria souvlaki spot makes what many consider the best gyros in New York.", "Small, bright, and clean, BZ Grill stands apart from the usual run of gyro joints, both in Astoria and out.", "What really makes it shine is the food, which is aggressively seasoned with Cyrpriot spices, and all made in-house (even the gyro meat and sausages), and made of much higher quality ingredients that might otherwise be expected.", "All the various Greek and Cypriot dishes are excellent, but the gyro is the reason to come--if you don't eat one your trip was wasted."], "output": "[['food quality', 'positive'], ['restaurant 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": ["The worst excuse for Japanese food I've ever encountered.", "The soup for the udon was soy sauce and water.", "The sushi was awful!", "The rice was poor quality and was cooked so badly it was hard.", "Furthermore, the rice had no seasoning, so the sushi was bland and disgusting.", "The fish was adequate, but inexpertly sliced.", "It is obvious that no one in the restaurant has any idea about or experience with Japanese cuisine."], "output": "[['food quality', '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": ["This is the BEST Shabu-Shabu Restaurant in the Try-State Area.", "I have lived in Japan for 7 years and the taste of the food and the feel of the restaurant is like being back in Japan.", "Thius is a must for anyone who loves Shabu-Shabu."], "output": "[['restaurant general', 'positive'], ['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": ["Was there Friday night.", "Best Pastrami I ever had and great portion without being ridiculous.", "And I've been to many NYC delis.", "My wife had the fried shrimp which are huge and loved it.", "Price no more than a Jersey deli but way better."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['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": ["Just moved to the neighborhood and we've been trying all the West Village Sushi restaurants.", "If you don't mind pre-sliced low quality fish, unfriendly staff and a sushi chef that looks like he is miserable then this is your place.", "Price and quality of fish alone will keep us from making a return visit.", "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.", "No thanks!!!"], "output": "[['food quality', 'negative'], ['service general', 'negative'], ['restaurant miscellaneous', '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": ["This place has the best Chinese style BBQ ribs in the city.", "I also recommend the rice dishes or the different varieties of congee (rice porridge).", "It's great to go for a quick lunch either alone or with a friend.", "It's definately not a place to go if you want to impress someone.", "However, if you want great food at a great price and don't mind the decor, you can't beat this place.", "Quick and friendly service.", "This is one of the best comfort food places in the city.", "It's somewhere you can eat and be happy."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant miscellaneous', 'conflict'], ['ambience general', 'neutral'], ['food 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": ["This place is really trendi but they have forgotten about the most important part of a  restaurant, the food.", "The last two times I ordered from here my food was soo spicy that  I could barely eat it, and the spice took away from the flavor of the dish.", "And the Tom Kha soup was pathetic.", "If you want good authentic Thai this place is not the place to go."], "output": "[['food quality', 'negative'], ['ambience general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Way below average", "I think the pizza is so overrated and was under cooked.", "Had no flavor and the staff is rude and not attentive.", "Would NEVER go back"], "output": "[['restaurant general', 'negative'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["overpriced japanese food with mediocre service", "Went here on sat 1/26 and was disappointed.", "Chicken teriyaki had tomato or pimentos on top??", "food was luke warm.", "The waitress was not attentive at all.", "I was looking for banana tempura for dessert and they dont have.", "Too many other good places to have to settle."], "output": "[['food prices', 'negative'], ['restaurant general', 'negative'], ['food style_options', 'negative'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["First went here to enjoy their garden terrace.", "The food was amazing, and the service was prompt and helpful, but not over-bearing or rushed.", "The Steak Tartare is a great bet, they fix it for you at the table.", "Admittedly some nights inside the restaurant were rather warm, but the open kitchen is part of the charm.", "Great wine selection, Gigondas is worth the price, and the house champagne is a great value.", "It may be a bit packed on weekends, but the vibe is good and it is the best French food you will find in the area.", "Have recommended the place to friends, always gets good response."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['food style_options', 'positive'], ['drinks style_options', 'positive'], ['drinks quality', 'positive'], ['drinks prices', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This tiny Williamsburg spot is always pleasantly surprising.", "The pizza is delicious and the proprietor is one of the nicest in NYC.", "Even the pasta is delicious here (a rarity in New York pizza restaurants).", "I've been many time and have never been disappointed."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Shabu Shabu", "I go here at least once every other week, particularly when it's cold!", "I love it.", "To be honest we only ever eat the Shabu Shabu.", "I tried a couple other dishes but wasn't too impressed.", "But for the Shabu Shabu, you won't find much better in NY.", "In fact there is only one I've tried that even compares (shabu Tatsu) and even then I prefer Dokebi.", "The meat is fresh, the sauces are great, you get kimchi and a salad free with your meal and service is good too."], "output": "[['food quality', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['food style_options', '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": ["Tasty Dog!", "An awesome organic dog, and a conscious eco friendly establishment.", "One of the best hot dogs I have ever eaten.", "Can't wait to go back."], "output": "[['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a fun restaurant to go to.", "The pizza is yummy and I like the atmoshpere.", "But the pizza is way to expensive.", "A large is $20, and toppings are about $3 each."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', '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": ["One of my favorite places in Brooklyn. ", "The pastas are incredible, the risottos (particularly the sepia) are fantastic and the braised rabbit is amazing."], "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 really liked this place.", "Everything I had was good, and I'm a eater.", "It was pretty inexpensive too."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I went there with my friend last saturday.", "first it took us a long time to find the place.", "we were tired and cold when we got to the restaurant, then we sat down to begin ordering appetizers.", "but when we looked at the menu, there weren't a lot of choices, most of them were dumplings in the appetizer section.", "then we ordered a dinosaur rolls and white tuna sashimi.", "those rolls were big, but not good and sashimi wasn't fresh.", "they were dry and disgusting, i didn't even finish my first piece."], "output": "[['restaurant miscellaneous', 'negative'], ['food style_options', 'negative'], ['food 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": ["Been there, done that, and New York, it's not that big a deal.", "The food is decent at best, and the ambience, well, it's a matter of opinion, some may consider it to be a sweet thing, I thought it was just annoying.", "If celebrities make you sweat, then your in for a ride, but if your like most around these parts then you'll just yawn and wonder whats with all the hype.", "Rao is a good restaurant, but it's nothing special."], "output": "[['restaurant general', 'neutral'], ['food quality', 'negative'], ['ambience general', '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": ["would NOT go back.", "Service ok but unfriendly,filthy bathroom.", "The high prices you're going to pay is for the view not for the food.", "The bar drinks were Eh, ok to say the least.", "The stuff tilapia was horrid...tasted like cardboard.", "We thought the dessert would be better, Wrong!", "$170 down the toilet...", "oh speaking of bathroom , the mens bathroom was disgusting.", "The floor was wet, the trash can filled with hand towels n all over the floor, no soap, and no hand towels left.", "Go to son cubano in edgewater nj instead."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['ambience general', 'negative'], ['location general', 'neutral'], ['food quality', 'negative'], ['restaurant prices', 'negative'], ['drinks quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is amazing... especially if you get the Chef's tasting menu and your favourite bottle (or two!) of wine from an extensive selection of wines.", "The place is small and intimate and you may feel a little crowded, but the service is excellent and it's great for friends out, a romantic date, or a special occassion.", "People dress in suits or evening gowns as well as shirts jeans.", "The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you don't like.", "Recommendations, of course, are required!", "Please be aware that it's CASH or AMEX only!"], "output": "[['food quality', 'positive'], ['drinks style_options', 'positive'], ['service general', 'positive'], ['ambience general', 'negative'], ['restaurant miscellaneous', 'positive'], ['food prices', 'conflict'], ['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": ["Never fails to please.", "delicious bagels, especially when right out of the oven.", "Spreads and toppings are great - though a bit pricey.", "Service is fast and friendly.", "Only drawback - they won't toast your bagel, and they don't make eggs for the bagel.", "But that is highly forgivable."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'negative'], ['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": ["More Williamsburg Garbage", "My wife and I visited Dokebi tonight.", "We ordered dosut bibimbap and nakgi-bokum.", "The dishes came out around 5 minutes apart.", "The bibimbap was average, but the stone bowl wasn't even close to sizzling.", "Too bad I had paid an extra $2 for the stone bowl.", "The nakgi-bokum was horrible.", "Easily the worst stir-fried squid I've ever tasted.", "The sauce tasted more like Chinese fast food than decent Korean.", "The side dishes were passable, and I did get a refill upon request.", "The real problem I had with this place was the complete lack of service.", "I mentioned the squid dish wasn't very good when the waitress visited.", "She just nodded and walked off.", "There were no communications issues either, as she spoke perfect English.", "As to my comment about the food, no apology or acknowledgment was made.", "My wife had barely touched that mess of a dish.", "We were charged full price.", "If you ware looking for Korean fusion, I suggest you try some of the places in the East Village.", "Authentic Korean food lovers should visit 32nd Street, of course."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'negative'], ['food prices', '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": ["We arrived on time for our reservation and seated promptly.", "The menu has so many fish items and oysters.", "We all ordered different entrees so we could share.", "The fish was really,really fresh.", "I lived in Maine for ten years and grew up on fish.", "We all agreed that mare is one of the best seafood restaurants in New York."], "output": "[['food style_options', '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": ["The service was excellent and the food was delicious.", "We are very particular about sushi and were both please with every choice which included: ceviche mix (special), crab dumplings, assorted sashimi, sushi and rolls, two types of sake, and the banana tempura.", "Overall the restaurant is more expensive than our other sushi favorites, but everything was delicious.", "Definitely a great spot for a nice occasion or date."], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', '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": ["Fantastic place.", "Cute and decorative.", "A pleasant surprise.", "Go there to relax and feel like your somewhere else."], "output": "[['restaurant 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": ["My boyfriend and I went there to celebrate my birthday the other night and all I can say is that it was magnificent.", "From the spectacular caviar to the hospitable waitstaff, I felt like royalty and enjoyed every second of it.", "Considering we were the last patrons there and it was after the closing time, the waitstaff did not rush us at all and made us feel comfortable and relaxed.", "I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service."], "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": ["Best. Sushi. Ever.", "This place has ruined me for neighborhood sushi.", "Creative, consistent, fresh.", "Excellent sashimi, and the millennium roll is beyond delicious.", "Not cheap but very yummy.", "Love it."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I thought this place was totally overrated.", "Everything we had was good or ok....but definitely nothing great.", "The ambience was nice, but service wasn't so great.", "When you add it all together, it just doesn't seem worth it to me...especially considering the prices."], "output": "[['restaurant general', 'negative'], ['ambience general', 'positive'], ['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": ["This was a great surprise.", "With the theater 2 blocks away we had a delicious meal in a beautiful room.", "The service was attentive.", "I look forward to eating here again"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['location 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 have been twice to this restaurant.", "I love it.", "I plan on stopping by next week as well.", "I found it on a cold night, the perfect spot to warm up.", "I recieved prompt service with a smile.", "To me it exemplifies Soho, cute, artsy, interesting.", "Definately check it out!!!"], "output": "[['restaurant general', 'positive'], ['restaurant miscellaneous', 'positive'], ['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": ["Out of the hundreds of Italian restaurants in Queens, this is among the best.", "The shrimp scampi was excellent and the antipasti were plentiful.", "It is expensive but well worth the money.", "If you venture off the island of Manhattan and can't seem to find a great Italian restaurant, drive to Corona."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i've been to sapphire twice and both times the food was fine, if not good.", "stick with the chicken, beef, and lamb dishes.", "i don't usually order wine with indian so i can't comment on their wine list or their wines.", "instead ordered an ice cold beer which to me works with indian.", "service is friendly, and never had a problem walking in and getting a table.", "i would recommend reservations on weekends though.", "skip dessert."], "output": "[['food quality', 'conflict'], ['service general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["AMAZING MY FAVORITE!!!", "I have been living in NYC for bit now and I have to say I love to go out and explore the scene.", "I came across Village Underground by accident, now I go there all the time.", "The martinis are amazing and very fairly priced.", "THE SERVICE IS AMAZING, i've had different waiters and they were all nice, which is a rare thing in NYC.", "The DJ is awesome, I have been there for my birthday and a bunch of other times with friends and I keep going back.", "You can get a table without a reservation if you get there early I they don't make you by bottles.", "Which lets face it....at times it's a good thing.", "In the end you end up with a fair tab and NOTHING BUT A GREAT TIME!!!", "Highly recommended!"], "output": "[['restaurant general', 'positive'], ['drinks quality', 'positive'], ['drinks prices', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["this place... we stumbled upon it on labor day weekend.", "whoever the jazz duo was, they were on POINT.", "good music, great food, speedy service affordable prices.", "even the wine by the glass was good.", "its a little out of the way if you don't live in the neighborhood, but definitely worth the trip from wherever you are."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['drinks quality', 'positive'], ['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": ["I visit New Green Bo when I have money or when I am broke.", "I recommend the jelly fish, drunken chicken and the soupy dumplings, certainly the stir fry blue crab.", "The food is so cheap and the waiters are nice.", "Of course, it is crowded but who cares.", "Authentic Shanghai style and I cannot recommend a better Shanghai place in New York."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Terrible Waste of money.. scammers", "I agree that dining at Casa La Femme is like no other dining experience!", "BUT not in a good way.", "I am actually offended to have spent so much money on such a bad experience.", "I literally just got back home after visiting Casa La Femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time.", "We went to celebrate two birthdays and wanted to do something special and different.", "Our visit their to say the least, was an unpleasant and costly experience!", "And even more so unpleasant because it was so costly for such an unpleasant experience.", "We did arrive late for our reservation so I can not complain too much about the wait for a table.", "Although we were told 10-15 minutes and it was more like 45 minutes.", "We were ushered to the bar to wait momentarily and upon arrival were so excited.", "The place is beautiful!", "The hostess was very pleasant.", "However, our $14 drinks were were horrible!", "Once we finally got a table, despite indicating we wanted an alla carte menu we were pushed into a table that was only price fixed!", "Since we were already waiting so long, we felt we had no other choice but to accept it.", "Our experience did not ever get any better.", "For each course we waited over 1/2 hour to 45 minutes and were never offered a drink.", "We also asked for Hooka six times and the waiter kept telling us one minute and never returning with the Hooka.", "After the 4th time i asked again and the waiter than said after our dinner.", "We asked for beverages and never received them.", "We asked for sides which the waiter than admitted that he forgot to put in that part of our order.", "My chicken was inedible as there were so many fatty lumps which i had to keep spitting out into my napkin.", "I would not expect this for a $55 dinner.", "By the time we finished our dinner we still had not received one beverage NOR hooka!", "What we did do was waste 3 hours being trapped in a table waiting and waiting for food and drinks and hooka.. some of which we never received!", "The only beverage we did receive was water in dirty glasses!", "To top it all off.. the main reason we came to your restaurant was for the belly dancers and missed the first show as we were not seated yet and the 2nd belly dancer only danced at two tables in the back of the restaurant and never made it around to the other half of the restaurant.", "By the time we left our wallets were empy and so were our stomachs AND we missed the show we were supposed to see following our dinner, which would have been acceptable if we got to enjoy the experience of good food and belly dancers!", "If it seemed possible to do so while there I would have fought my bill since my dinner portion of my meal was inedible!", "I have never left a restaurant feeling as if i was abused, and wasted my hard earned money.", "MY husbands birthday and my sons was not as it was intended... and we drove two hours to spend too much money to be treated terribly!", "I wish I COULD be refunded!"], "output": "[['restaurant general', 'negative'], ['restaurant prices', 'negative'], ['service general', 'negative'], ['ambience general', 'positive'], ['drinks quality', 'negative'], ['drinks prices', 'negative'], ['food quality', 'negative'], ['food prices', '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": ["awesome", "the food is always fresh ..."], "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": ["great food", "This place has great indian chinese food.", "The flavors are amazing and the value is phenomenal.", "Be prepared to wait, because the place is pretty tiny.", "Also, they do not take credit card so come with cash!", "Even though the place is not beautiful, the food speaks for itself.", "Best Indian Chinese in the city, by far!"], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['restaurant miscellaneous', 'negative'], ['ambience 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": ["Great Indian food", "I lived on 50th st, and wanted Indian one day so decided to check this place out.", "Food was amazing - I love Indian food and eat it quite regularly, but I can say this is one of the best I've had.", "Very \"normal Indian food\", but done really well.", "I have it a 4 instead of 5 because of the price (just chicken tikka masala - no bread of rice - is $25), which I would expect at a upscale Indian restaurant but this place doesn't have an upscale feel.", "Also, waiters try to push more food on you, like suggest things as if they are complimentary when they actually cost $.", "I don't appreciate places or people that try to drive up the bill without the patron's knowledge so that was a huge turnoff (more than the price).", "But if you're prepared to spend some $ and remember to ask if something they offer is complimentary, then this is the place to go for Indian food"], "output": "[['food quality', 'positive'], ['food style_options', 'neutral'], ['restaurant general', 'positive'], ['restaurant prices', 'negative'], ['food prices', 'negative'], ['ambience general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Lives up to the hype", "We've lived around the corner from this place for over a year and finally had dinner there.", "We've tried before but it always packed and doesn't take reservations.", "It was well worth the wait.", "The wife had the risotto which was amazing.", "It doesn't look appetizing as it's covered in squid ink and it turns your lips and teeth black, but the taste was phenomenal.", "The farro salad and the mashed yukon potatoes were also extremely tasty."], "output": "[['restaurant general', 'positive'], ['restaurant miscellaneous', 'neutral'], ['food quality', 'positive'], ['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Raga's is a romantic, cozy restaurant.", "The exotic food is beautifully presented and is a delight in delicious combinations.", "It is also extremely well priced.", "The staff is incredibly helpful and attentive.", "The bar is very well stocked with interesting beers and well priced wines.", "This is one of my favorite restaurants and it is not to be missed.", "Your friends will thank you for introducing them to this gem!"], "output": "[['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['drinks style_options', 'positive'], ['drinks prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Excellent dumplings served amid clean, chic decor.", "I got the $10 10-piece dim sum combo, every bite of which was great.", "But $1 for each small piece???", "Not worth it.", "I won't go back unless someone else is footing the bill."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['food prices', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Wretched and retching", "This will be only the third online review I have ever made about a restaurant in my life.", "They have all been tonight and they have all been about the same restaurant.", "I have never been so disgusted by both food an service.", "For starters they delivered us someone else's order.", "Fine, I wont hang you for that.", "However, once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair, (sometimes you have to settle when it's your only option), I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting, slimy, clearly bad piece of fish skin.", "Not one to jump to complaints (hence my lack of previous online reviewing), I called the restaurant to give them a heads up that their kitchen might want to check the cleanliness of their prep stations.", "My main concern was the sanity of the food that was being sent out to myself and others, but I would be lying is I said that as someone who has worked in restaurants since the age of fifteen I was expecting at least a minimal effort on the part of the restaurant to amend the situation.", "None was made so i hung up.", "Less than three minutes passed before I found myself doubled over the toilet.", "My girlfriend, being slightly more aggressive, and having been equally disgusted causing her to throw out the remainder of her barely eaten meal, called back only to be informed that I was probably wrong and that it was most likely an oyster, and that we were also blacklisted from their restaurant.", "Not only have I worked in restaurants for many years, I am now in culinary school, I am a huge lover of oysters and fish, and my girlfriend is half Korean!", "We know the difference between and oyster and bad fish.", "It wasn't as if this restaurant had any major bragging points before hand, but now it's simply repulsive.", "Eat at your own risk."], "output": "[['restaurant general', 'negative'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A beautifully designed dreamy Egyptian restaurant that gets sceney at night.", "Watch the talented belly dancers as you enjoy delicious baba ganoush that's more lemony than smoky.", "Oh, and there's hookah."], "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": ["Pizza here is consistently good.", "Salads are a delicious way to begin the meal.", "You should pass on the calamari.", "It is thick and slightly soggy.", "Decor is charming.", "Service is average."], "output": "[['food quality', 'conflict'], ['ambience general', 'positive'], ['service 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": ["Not because you are \"The Four Seasons\"... \u2013 you are allowed to charge an arm and a leg for a romatic dinner.", "The food was excellent as well as service, however, I left The Four Seasons very dissappointed.", "I do not think dinner in Manhattan should cost $400.00 where I am not swept off my feet."], "output": "[['restaurant prices', 'negative'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was absolutely amazing!!", "The baked clams octopus we shared as appetizers were the best we've ever had!! ", "The lamb was tender so full of flavor, the dessert was divine!!", "The waiter was attentive.", "The place itself is beautiful the bar scene seems to be happening."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Every time in New York I make it a point to visit Restaurant Saul on Smith Street.", "Everything is always cooked to perfection, the service is excellent, the decor cool and understated.", "I had the duck breast special on my last visit and it was incredible.", "Can't wait wait for my next visit."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['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": ["cirspy crust margherita pizza", "we have been there 3 times since last week we alked it by chance first day the manager offerd us the margherita pizza adn we said yes.", "it was really good pizza.", "the crust was imazingly cooked well and pizza was fully loaded:):):)", "you know what i mean all the positives things happening there made mw write this review."], "output": "[['food quality', '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": ["Best drumsticks over rice and sour spicy soup in town!", "Beef noodle soup is good as well.", "The service is good and the resturant is clean.", "Best Taiwanese food in NY!"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am not the most experienced person when it comes to Thai food, but my friend who took me there is.", "He has visited Thailand and is quite expert on the cuisine.", "It was wonderful.", "the salads are delicious, both refreshing and very spicy.", "We had Pam's special fried fish and it was amazing.", "too large for just two people but nothing was left.", "Unbelievable."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['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": ["Good Food", "I went here with my boyfriend for our anniversary.", "The food was great and tasty, but the sitting space was too small, I don't like being cramp in a corner.", "Over all it was a very nice romantic place .", "I would recommend to ask for a bigger sitting area when you make a reservation (if possible)"], "output": "[['food quality', 'positive'], ['ambience general', 'conflict'], ['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": ["First of all, this place is *not* romantic, as claimed by Citysearch's editorial review.", "Either that, or the editor's idea of romance must be sharing a conversation with the next table, while trying to speak louder than the traffic on 57th.", "The tables are crammed way too close, the menu is typical of any Italian restaurant, and the wine list is simply overpriced.", "Slightly above average wines start at $70+ with only one selection listed at $30+.", "Service is not what one would expect from a joint in this price category.", "For instance, plates were just dumped on the table, I was handed the wine list upside down, etc.... ", "Somehow working the italian charm with constant mille grazie does not constitute proper service.", "To be completely fair, the only redeeming factor was the food, which was above average, but couldn't make up for all the other deficiencies of Teodora."], "output": "[['ambience general', 'negative'], ['food style_options', 'neutral'], ['drinks prices', 'negative'], ['drinks quality', 'negative'], ['service general', 'negative'], ['food quality', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great food, great prices, great service.", "If you are looking for a good quality, cheap eats - this is the place."], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive'], ['service general', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place is so much fun.", "Our family never expected such incredible entertainment in a restaurant.", "This place must have cost the owners afortune to build.", "I think the stuff was better than Disney.", "Our food was great too!", "And really large portions.", "The staff was the friendliest that have seen in New York.", "We will go back every time we are in the City."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I absolutely love this place!!!", "From the street it looks very hidden, and is actually an old warehouse.", "I like the ambience, it's very dark and original.", "I came here for my friend's birthday and keep coming back ever since.", "The sushi is amazing!!! ", "And amazingly cheap.", "Big thumbs up!"], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This restaurant used to be our regular Thursday night dinner location.", "During the course of the past 3 months, the chef and staff changed and it was not for the better.", "I wish they would change back to what it was before.", "The food now is inconsistent."], "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": ["My friend from Milan and myself were pleasantly surprised when we arrived and everyone spoke italian.", "Too bad the food wasn't of the same heritage.", "The porcini mushroom pasta special was tasteless, so was the seafood tagliatelle.", "A real dissapointment.", "But that wasn't the icing on the cake: a tiramisu that resembled nothing I have ever had.", "They should have called it mascarpone with chocolate chips-good but a far cry from what the name implies.", "Priced at upper intermediate range."], "output": "[['restaurant miscellaneous', 'positive'], ['food quality', 'negative'], ['restaurant 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": ["Baluchi's has solid food and a nice decor at reasonable prices.", "The only problem is that the manager is a complete incompetent.", "He offers subpar service and has no personality.", "In fact, it appears he is going to go postal at any moment.", "Skip this location and go to the one in Soho.", "There is no excuse for such lousy service!"], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['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": ["Excellent food for great prices", "My husband and I have been sold on this from the first visit.", "The wait staff is very courteous and accomodating.", "The space is limited so be prepared to wait up to 45 minutes - 1 hour, but be richly rewarded when you savor the delicious indo-chinese food.", "There are no negatives to speak of."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['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": ["Moules were excellent, lobster ravioli was VERY salty!", "Took my mom for Mother's Day, and the maitre d' was pretty rude.", "Told us to sit anywhere, and when we sat he said the table was reserved.", "Stepped on my foot on the SECOND time he reached over me to adjust lighting.", "Tiny dessert was $8.00...just plain overpriced for what it is."], "output": "[['food quality', 'conflict'], ['service general', 'negative'], ['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": ["I went there in late afternoon for some bite size food and refleshment with my date.", "The place was quiet and delightful.", "Service was good and food is wonderful.", "I did not try the caviar but I tried their salmon and crab salad (they are all good)  ", "It is definitely a good spot for snacks and chat."], "output": "[['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the best sushi in new york city - hands down.", "The place is small and cramped but the food is fantastic.", "Get the tuna of gari.", "The one on the east side is much better than the one on the west side."], "output": "[['food quality', 'positive'], ['ambience 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'll keep this short.", "Amma is nothing special.", "The two star chefs left quite some time ago to open their own place.", "I ate here a week ago and found most dishes average at best and too expensive.", "Will not be back."], "output": "[['food quality', '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": ["Mermaid Inn is an overall good restaurant with really good seafood.", "The menu is limited but almost all of the dishes are excellent.", "The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great.", "The service is good and ambience is good for a date or group outing.", "The only fallback on this restaurant is the prices.", "Even though its good seafood, the prices are too high.", "The lobster sandwich is $24 and although it was good it was not nearly enough to warrant that price."], "output": "[['food quality', 'positive'], ['restaurant general', 'positive'], ['food style_options', 'negative'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Indian Food!", "This place was reccomended to me by a friend.", "When I got there the place was packed but they made sure to seat me quickly.", "The food was good, the place was clean and affordable.", "I noticed alot of indian people eatting there which is a great sign for an indian place!"], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["One of the best, if not THE best, restaurants in Park Slope (and NY in general)", "Everything on the menu is great. ", "This establishment is the real deal. ", "Wish NY had more of these kind of places: intimate, superb food, homey, top notch all the way around, certainly worth the wait."], "output": "[['restaurant general', 'positive'], ['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": ["Great service, great food.", "Prices are in line.", "Compared to other shabu restaurants around town, this places wins hands-down.", "But too far east!"], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'neutral'], ['location 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": ["Very, very nice", "The place is a bit hidden away, but once you get there, it's all worth it.", "not only is the food"], "output": "[['restaurant general', 'positive'], ['location general', 'neutral'], ['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": ["Average to good Thai food, but terrible delivery.", "I've waited over one hour for food.", "They were very abrupt with me when I called and actually claimed the food was late because they were out of rice.", "A Thai restaurant out of rice during dinner?", "The food arrived 20 minutes after I called, cold and soggy."], "output": "[['food quality', 'neutral'], ['service general', 'negative'], ['restaurant miscellaneous', '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": ["Don't go with a larger group than 4! ", "I went here for a family birthday dinner. ", "Five of us walked in at approximately 6:20 on a Thursday evening. ", "The hostess said \"Wow that's a large group, unless you aren't together\", to which I replied \"no we are, and there will be one more, so a table for six please.\" ", "At first we were a little taken aback, as this seemed to present a problem, although the restaurant looked fairly empty, but they hastily put the table together for us.", "The menu is fairly simple without much descriptions. ", "There was no tap beer that evening, which was a disappointment. ", "Not much of a selection of bottled beer either, we went with Brahma. ", "The appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion (maybe 3 of each). ", "The lobster knuckles (special of the day) were ok, but pretty tasteless.", "I believe there were 2 shrimp in the \"salt encrusted shrimp\" appetizer. ", "After we ate our appetizers (which took all of 8 minutes) we ordered another round of Brahma's - and tried to stall a little as we waited for our sixth dinner member. ", "The waitress appeared and asked us if we wanted to go ahead and order. ", "We replied that we would like to wait 5 more minutes if that was okay. ", "She replied \"well it would be more convenient for us if you ordered now, since you are a larger party, and it might get crowded.\" ", "We called the other person who was very close by, and she told us to order for her, so we did. ", "The food arrived in about 15 minutes. ", "I had the Thai style Fried Sea Bass...which was very good. ", "Everyone seemed generally happy with their food, except my brother who had the grilled Mahi Mahi, seemingly drenched in Grapfruit Juice! ", "I heard the lobster roll was excellent. ", "They seemed to continue to rush us along, taking plates without asking if we were done (my sister still had her fork in hand). ", "All in all the food was good - a little on the expensive side, but fresh. ", "Service not the friendliest to our \"large party\"! ", "Probably would not go back here."], "output": "[['restaurant miscellaneous', 'negative'], ['service general', 'negative'], ['drinks style_options', 'negative'], ['food quality', 'positive'], ['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": ["Anybody who likes this place must be from a different planet, where greasy, dry and tasteless are complimentary.", "The dosas are skimpy, unattractive and drip with grease, and personally I'd drink popcorn topping before I'd eat another one of these.", "The sandwiches are dry, tasteless and way overpriced.", "Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance, but in this unattractive room with unhelpful clerks there was a dearth of the former too."], "output": "[['food quality', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative'], ['ambience general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We had a great time at the Jekyll and hyde Pub last night.", "We were walking around the village and went into this place just for some drinks.", "After really enjoying ourselves at the bar we sat down at a table and had dinner.", "The server was really cool and served us our food and drinks with a smile.", "The place's decor and hidden bathrooms made for a good laugh.", "I highly recommend visiting this restaurant and having dinner and drinks!"], "output": "[['restaurant general', 'positive'], ['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": ["Had a late night dinner on a Saturday night.", "Great vibe, lots of people.", "My husband and I both ordered the Steak, medium.", "My husbands was perfect, my was well done and dry.", "I didn't complain, I liked the atmosphere so much.", "Will give it another chance before I write it off."], "output": "[['ambience general', 'positive'], ['food quality', 'conflict'], ['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 place is incredibly tiny.", "They refuse to seat parties of 3 or more on weekends.", "The hostess is rude to the point of being offensive.", "The food was bland oily.", "I just don't understand all the hype..."], "output": "[['restaurant miscellaneous', 'negative'], ['service general', 'negative'], ['food 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": ["How is this palce still open?", "I honestly don't even know where to begin.", "My boyfriend and I are avid restaurant goers, and we are always on the lookout for new places and our friend had recommended Flatbush Farms.", "We arrived and were seated immediately, which made us both happy.", "We ordered our appetizers, I ordered the chicken and my boyfriend the salmon.", "Everything was going good until we got our meals.", "I took one look at the chicken and I was appalled.", "It was served with skin, over a bed of extremely undercooked spinach and mashed potatoes.", "My boyfriend asked me if I wanted to switch and eat his salmon instead, while he de-skinned the chicken so that I could enjoy the white meat.", "I took one bite from the $24 salmon, and I have never, in the 17 years I have been going to restaurants tasted salmon as fishy, as dry, and as bland as the one in Flatbush Farms.", "At this point, the waitress comes over and asks us if everything was okay, I was literally so shocked that I was speechless and didn't say anything, and guess what, the waitress WALKED away.", "So, I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again, but the spinach was so undercooked that I just could not bite through it.", "I couldn't even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach.", "I've had better chicken at BBQs!!!!", "So I decide to report back to the waitress because it was completely inedible.", "Guess what, I waited for TWENTY minutes before she came over and when she finally did, she says, \"oh well, I wish you would have said something earlier\" No apology, nothing.", "After that she simply took our plates, walked away, came back another TWENTY minutes later with the bill and the chicken on it!!!!!!!!!!!!", "No desert menu, no apology, nothing!!!!!!", "I was literally going to explode, but instead, my boyfriend took the bill and went to find the manager.", "This is where it really really gets bad: the manager said, there is absolutely nothing we can do, it's a matter of taste that she didn't like it, and I cannot comp it.", "Again, no apology, no is there anything else I can get you, no can I get you a drink to make up for it, nothing!!!!", "We refused to pay for it because at this point it had nothing to do with the food anymore.", "The level of rudeness was preposterous.", "The manager came to the table and said we can do what we want, so we paid for what we did enjoy, the drinks and appetizers, and walked out.", "I HAVE NEVER EVER HAD SUCH AN UNPLEASANT EXPERIENCE.", "THIS STAFF SHOULD BE FIRED."], "output": "[['restaurant general', 'negative'], ['food quality', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['service general', 'negative'], ['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've lived in NY for 5 years and this place has it all.", "Great food, good size menu, great service and an unpretensious setting.", "The dishes offered were unique, very tasty and fresh from the lamb sausages, sardines with biscuits, large whole shrimp to the amazing pistachio ice cream (the best and freshest I've ever had).", "I'm glad I was introduced to this place and this is a rare gem in NY."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['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": ["There is \"Expensive-but-worth-it\" and there is \"Expensive-and-WTF\"?", "This is a twenty-something guy that doesn't mind laying down $300 for a fine and delicious meal for 2 on special occassions.", "But $500 for a dinner for two that didn't include Wine?", "Are you freaking kidding me?", "Look, the appetizers were really good.", "The entree was also very good.", "Can't argue about that, but they are clearly over priced.", "What you are paying for is the environment and the name.", "Yes, the place is classy and beautiful, but they most certainly target the uber whealthy Not the common joe that wants to go all out every once in a while.", "$500 included:", "Drinks: 2 glasses of Dom Perignon at $35 each.", "Starters: Kobe Beef Sashimi.", "Which of course is not real Kobe but Wagyu beef.", "Surprised that a place of this caliber would advertise it as Kobe.", "A beef Consomme.", "Entrees: Vanison steak and Bison Steak.", "Vanison was good but not amazing.", "Bison was quite excellent however.", "Dessert: pure disaster.", "Just not good at all.", "Some Pineapple covered in a glaze of some kind and some pear tart thing Not impressive at all.", "I read reviews that called the restaurant too expensive and I thought to myself, but may be it is worth it.", "I was wrong.", "The Four Seasons has history and it is a sort of landmark of New York City restaurants, but trust me, they will charge you through the nose just so that you can say \"I've been to the four seasons restaurant\".", "I wanted to go there to see if it was worth it and sadly, curiousity got the best of me and I paid dearly for it.", "All in all, the food was great (except for the dessserts).", "The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts.", "If you are going for the food, it will not be worth it.", "Yes, it is good, but I've had better for cheaper.", "You would think they would make up for it with service, sadly, no.", "Service was just ok, it is not what you'd expect for $500."], "output": "[['food prices', 'negative'], ['food quality', 'conflict'], ['restaurant prices', 'negative'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'negative'], ['food style_options', 'negative'], ['restaurant general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been to Roth's twice and both times were very disappointing.", "Once for dinner and once for brunch.", "Both times I was extremely dissappointed by the service, which was boarderline rude.", "They wouldnt even let me finish my glass of wine before offering another.", "Much of the time it seems like they do not care about you.", "The dinner was ok, nothing I would have again.", "I had their eggs benedict for brunch, which were the worst in my entire life, I tried removing the hollondaise sauce completely that was how failed it was."], "output": "[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Go to Volare for 1st class service and terrific food.", "The portions are large and the servers always surprise us with a different starter.", "The wine list is excellent."], "output": "[['service general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['drinks 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": ["All the staff is absolutely professional!! ", "I sometimes see the waiters don't have enough knowledge of their dishes.", "But they do.", "(that is A MUST, but not every restaurant can do...) ", "If you want to dine with large party, I recommend to make reservation BASEMENT.", "There's nice and quiet, small but enough for 6 (or more)."], "output": "[['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My wife and I ate here earlier this week and have not stopped ranting and raving about the food.", "If you like spicy food get the chicken vindaloo.", "It's very spicy but not offensive.", "We will definitely go back."], "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": ["Consistently good Japanese Tapas.", "Same owner as the guy who owns Typhoon, which is just down the street on St. Marks and 1st Ave.", "Always good drinks and service is pretty good;", "Atmosphere is nice and relaxed too...", "A great place to meet up for some food and drinks...  ", "Yakitori (bbq meats) is tasty too.", "It's also attached to Angel's Share, which is a cool, more romantic bar..."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the bestt!", "my favorite place lol", "i love their chicken pasta cant remember the name but is sooo 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": ["Single Worst Restaurant in Manhattan", "I'll being with a couple of positives: cool decor, good pita and hummus, and grilled octopus that was actually pretty tasty.", "Moving on.", "If I could give 0 stars I would do so for this place.", "Casa La Femme is to middle eastern dining what Chuckie Cheeze is to italian.", "The reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews.", "Well...they can run but they can't hide.", "I live in the West Village and I've been to a lot of restaurants.", "Sometimes you pay a lot and don't get much in return - it's manhattan, things are expensive.", "However, most of them are at least prompt and pleasant.", "This place...god where do i begin.", "It is quite a spectacular scene i'll give them that.", "The decor however seems to be the distraction so you won't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME!!!!", "How this place survives the competitive west village market in this economy, or any other for that matter, is beyond me."], "output": "[['restaurant general', 'negative'], ['ambience general', 'positive'], ['food quality', 'positive'], ['restaurant miscellaneous', 'negative'], ['food prices', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["When I'm feeling stressed by the noise and congestion around my office, I head for Cafe St. Bart's.", "When you're sitting in their main dining room (which has a spectacular, hand-painted high ceiling) you'd never know there was a world outside.", "The food is wonderful, tasty and filling, and the service is professional and friendly.", "I can't wait for summer, when they serve outside on their gigantic patio.", "Ahhh..."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', '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": ["What a great place!", "Not the typical NYC gimmick theme restaurant.", "A cool bar with great food, and tons of excellent beer.", "And even with it's Pub atmosphere they were great to my kids too!", "Loved it!"], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['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": ["The food was actually aweful.", "I'm not picky - but it was actually gross.", "The mussles were the fishiest things I've ever tasted, the seabass was bland, the goat cheese salad was missing the goat cheese, the penne w/ chicken had bones in it... It was disgusting.", "Nice atmosphere, the service was very pleasant and the desert was good.", "Wouldn't recomend it for dinner!"], "output": "[['food quality', 'negative'], ['ambience general', 'positive'], ['service general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The view is breathtaking the service is top notch... the ambiance is wonderfull.", "The staff offers impeccable service.", "I had Lobster Bisque it has 2 oz. of Maine Lobster in it.", "My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque.", "I had Filet Mignon with garlic mash.", "It was divine melts in your mouth.", "My boyfriend had Prime Rib it was good .", "We didn't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough. ", "We had Lava Cake... we ordered when our food came it takes at least a 1/2 to make it. ", "It's cuz it's so good you need to taste it!!! ", "All in all we're already coming up with excuses to go ahead really soon in the next few wks!!!!"], "output": "[['location general', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['drinks 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": ["The food is good, I can't lie.", "But the staff was so horrible to us.", "The hostess and the waitress were incredibly rude and did everything they could to rush us out.", "We were planning to get dessert but the waitress basically through the bill at us before we had a chance to order.", "This place is pricey, and yes, the food is worth it; but the service makes you feel like you should be paying a quater of the price.", "Save yourself the time and trouble and skip this one!"], "output": "[['food quality', 'positive'], ['service general', 'negative'], ['restaurant 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": ["Great Hot Dogs!", "I've made the trip out here a few times with a friend who lives nearby (I live on UWS).", "Though it's been crowded most times I've gone here, Bark always delivers on their food.", "The hot dogs are top notch, and they're Slamwich is amazing!", "Going to Bark is always worth the train ride, and will make your tongue and belly very happy!", "Only complaint is the pricing--I believe it would be more reasonable to pay a dollar less on each item listed on the menu.", "But nonetheless--great spot, great food."], "output": "[['food quality', 'positive'], ['restaurant miscellaneous', 'neutral'], ['restaurant general', '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": ["I was there on sat. for my birthday and we had an excellent time.", "I had the best ravioli ever.", "The wine the service was very good too.", "Moderate prices.", "A little noise but I think that was because of our party!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'neutral'], ['ambience 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": ["This is one of my favorite spot, very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized .", "The staff is very good.", "Love their drink menu.", "I highly recommend this beautiful place."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['service general', 'positive'], ['drinks style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the kind of place you'd like to take all your friends to and still keep a secret.", "The setting is casual and romantic.", "Prices are very good.", "The food is excellent! ", "if you're daring, try the balsamic vinegar over icecream, it's wonderful!"], "output": "[['ambience general', 'positive'], ['restaurant prices', '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": ["Leon is an East Village gem: casual but hip, with well prepared basic French bistro fare, good specials, a warm and lively atmosphere.", "My wife and I always enjoy the young, not always well trained but nevertheless friendly, staff, all of whom have a story.", "Sit outside in the warm weather; inside for cozy winter.", "Decent wine at reasonable prices.", "Have been dozens of times and never failed to enjoy the experience.", "Our teenage kids love it, too."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['drinks quality', 'neutral'], ['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": ["bad staff", "I generally like this place.", "The food is good.", "The design of the space is good.", "But the service is HORRID!", "I was there for brunch recently, and we were tag teamed by a waitress and a waiter.", "The waiter delivered our food while holding what appeared to be a plastic bag of garbage in one hand.", "I can't believe that it was, but please put the bag down before delivering food!", "The waitress came to check in on us every few minutes, and began to clear the plates while half of us were still eating (a big pet peeve of mine that happens almost everywhere, so I try to ignore it).", "I couldn't ignore the fact that she reach over the plate of one of my friends, who was in mid bite, to clear the table.", "She then put the check down without asking if we were done, and came to check on the bill every two minutes, even though we were one of three occupied tables.", "I wish I could like this place more, and I wish someone would retrain the staff."], "output": "[['service general', 'negative'], ['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Authentic Taiwanese food that's cheap... what more could you ask for?", "(Besides that there should be more restaurants like it around the city).", "The cold appetizer dishes taste like the way I remember them to taste when I was growing up in Taiwan."], "output": "[['food quality', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Mizu is the Japenese find in Grammercy.", "While their kitchen food is delicious, their Sushi is out of this world.", "Mizu is home to creative and unique rolls not to found anywhere else.", "Not only is the cuisine the best around, the service has always been attentive and charming.", "Warning: You may find it difficult to dine at other Japanese restaurants after a visit to Mizu!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've been here twice now.", "The first time the sushi was outstanding, the second time it was a little bland.", "I'm sure I'll return for a final judgement tho.", "The blond wood decor is very soothing, the premium sake is excellent and the service is great."], "output": "[['food quality', 'conflict'], ['restaurant general', 'positive'], ['ambience general', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice for one time special occasion.", "Went for Mom's birthday brunch/lunch.", "They honored reservation on Sunday afternoon very well. ", "Be aware.", "We were offered water for the table but were not told the Voss bottles of water were $8 a piece.", "Food was OK.", "Nice view of river and NYC."], "output": "[['restaurant miscellaneous', 'positive'], ['service general', 'positive'], ['drinks prices', 'negative'], ['food quality', 'neutral'], ['location 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": ["Gorgeous place ideal for a romantic dinner", "I took my boyfriend for a dinner on saturday night.", "I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot.", "The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing!", "I completely recommend Casa La Femme for any special occasion and to REALLY impress your date."], "output": "[['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Patroon features a nice cigar bar and has great staff.", "The food is tasty and portion sizes are appropriate.", "This is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates.", "Not a great place for family or general dining."], "output": "[['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant miscellaneous', 'conflict'], ['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": ["Suan is a great place that I often take my friends (classmates) too.", "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.", "I LOVE their Thai", "noodles with shrimp and chicken and coconut juice is the MUST!", "I was in love with Pongsri on 48th, but compared to Suan it is slow in service and overpriced.", "I will go back to Suan soon!", "In summer-eat outside on a terrace (another great feature of Suan)!!!"], "output": "[['restaurant general', 'positive'], ['location general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i went to utsav about a yr ago with my family.", "The food was good.", "The place was nice and calm.", "but the service was a bit slow."], "output": "[['food quality', 'positive'], ['ambience general', '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 absolutely Loved this place.", "My friends spoke so much about it for months, I finally made the time to come down ear and dine in.", "Excellent atmosphere, delicious dishes good and friendly service.", "this is can became on e of the NY Italian Food fare institutions.", "I think that it is absolutely brilliant and well runned business operation.", "The wine list is also really nice."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['drinks style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Taking Hot Dogs to the next level", "At first glance this place seems a bit pricey for a hot dog joint, but at Bark you don't just get your average hot dog.", "Here the hot dog is elevated to the level of a real entree with numerous variations available."], "output": "[['food quality', 'positive'], ['restaurant prices', 'negative'], ['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": ["Raymond the bartender rocks!", "Pacifico is a great place to casually hang out.", "The drinks are great, especially when made by Raymond.", "The omlette for brunch is great...", "the spinach is fresh, definately not frozen...", "quacamole at pacifico is yummy, as are the wings with chimmichuri.", "A weakness is the chicken in the salads.", "It's just average, just shredded, no seasoning on it.", "Also, I personally wasn't a fan of the portobello and asparagus mole.", "Overall, decent food at a good price, with friendly people."], "output": "[['service general', 'positive'], ['restaurant miscellaneous', 'positive'], ['drinks quality', 'positive'], ['food quality', 'neutral'], ['food prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A friend from Seattle and I went on a Thursday night around 8:30.", "Everything was wonderful; food, drinks, staff, mileau.", "I would highly recommend this place!"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['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": ["You cannot go wrong with this place.", "The food is outstanding and the service is quick, friendly and very professional.", "Always a nice crowd, but never loud.", "Go here.", "Good for dates or with friends."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant miscellaneous', '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": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering, the food here was decent, not great.", "The menu is very limited - i think we counted 4 or 5 entrees.", "We ordered the special, grilled branzino, that was so infused with bone, it was difficult to eat.", "The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic, just simple, small and sparse.", "Problem is nothing at Prune is particularly memorable.", "No plans to return anytime soon."], "output": "[['food quality', 'negative'], ['food style_options', 'negative'], ['ambience general', '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": ["I go and eat out at many different restaurants and this is one place you have go and try.", "This is my first time writing a review for a restaurant because the food and service was excellent.", "The filet mignon dish was superb!", "I would defiantly come back here again as one of my top choices.", "It's a small cute restaurant."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['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": ["This was my frist time at Cafe St. Bart's and I must say how delicous the food and the service was.", "When I called this morning, I didn't think I would be able to get in at 12, but I was able to get in, along with four other guests.", "I have to highly recommend the lobster roll - not to much mayo; you can tell it was a fresh lobster.", "Other guests enjoyed pizza, santa fe chopped salad and fish and chips.", "I highly recommend Cafe St. Bart's for their food, the ambience and wonderful service."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great taste", "Great, original taste.", "For me dishes a little oily, but overall dining experience good.", "Helpful service and average price per dish $10.", "The only thing that strikes you is the decor?(not very pleasant)."], "output": "[['food quality', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['food prices', '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": ["Volare virgins or weekly regulars, everyone gets treated the same and you can't ask for more than that when the service is this friendly.", "The restaurant has a Family feel, not least with regard to the portions which are enormous; the veal alone could have single-handedly solved third world famine.", "The anti-pasta was excellent, especially the calamari, as were the filling pasta mains.", "The wine list is extensive and can easily hike up an otherwise reasonably priced meal.", "Still, any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house..."], "output": "[['service general', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['drinks style_options', 'positive'], ['food prices', 'positive'], ['restaurant prices', '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": ["we love th pink pony.", "THe perfect spot.", "Food-awesome.", "Service- friendly and attentive.", "Ambiance- relaxed and stylish.", "Don't judge this place prima facie, you have to try it to believe it, a home away from home for the literate heart."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['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": ["Loved It", "My wife and I went to Water's Edge for a romantic dinner.", "We had a very nice time.", "The waiter was attentive, the food was delicious and the views of the city were great.", "I'd definitely go back again."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', '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": ["I started out with a Bombay beer which was big enough for two.", "For dinner I had the chicken tikka-masala and some garlic naan.", "MMmmm... it was delicious.", "Service was slow, but the people were friendly.", "It's a nice place to relax and have conversation.", "I can't wait to go back."], "output": "[['drinks style_options', 'positive'], ['food quality', 'positive'], ['service general', 'conflict'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I work around the corner and tried it with a colleague for the first time.", "The buffet had a nice selection.", "The food was average or above including some surprising tasty dishes.", "Service was also very good.", "I would go back."], "output": "[['food style_options', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Atmosphere", "Went to this place this place on a real cold night and needed a quick meal.", "I highly recommend the fish tacos, everything else was ok.", "Cool atmosphere, the fire place in the back really ads to it but needs a bit more heat throughout on a cold night."], "output": "[['ambience general', 'conflict'], ['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": ["My friends and I were on vacation in NY and was referred to Chance by a friend.", "I found the food to be outstanding, particulary the salmon dish I had.", "I also ordered the Change Mojito, which was out of this world.", "My friends settled for rice dishes, but we came back the following day to try the dim sum, which was good...not outstanding, but good.", "We ate out in the back patio, which is worth it as it's cool and the music is hear well there.", "Overall, excellent restaurant!"], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Judging from previous posts this used to be a good place, but not any longer.", "We, there were four of us, arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude.", "They never brought us complimentary noodles, ignored repeated requests for sugar, and threw our dishes on the table.", "The food was lousy - too sweet or too salty and the portions tiny.", "After all that, they complained to me about the small tip.", "Avoid this place!"], "output": "[['restaurant general', 'negative'], ['service 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": ["i have eaten here a handful of times, for no reason besides sheer convenience.", "(i hang out, and live, in the neighborhood..) ", "the food is decent.", "however, it's the service that leaves a bad taste in my mouth.", "i happen to have a policy that goes along with a little bit of self-respect, which includes not letting a waiter intimidate me, i.e. make me feel bad asking for trivialities like water, or the check.", "i know, you were too busy showing off your vintage tee shirt and looking bored, but my agenda is i'm here to eat and enjoy the company of friends, seeking a pleasant experience.", "well, i didn't find it there, and trust, i have told everyone i can think of about my experience. ", "the last time i walked by it looked pretty empty. hmmm."], "output": "[['food quality', 'neutral'], ['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": ["Best Reuben sandwich ever!", "A classic!", "Don't miss Bloom's on your next trip to Manhatten.", "It was the first place we ate on our first trip to New York, and it will be the last place we stop as we head out of town on our next trip to New York.", "Thanks Bloom's for a lovely trip."], "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": ["Best Indian Restaurant in the City", "Decor needs to be upgraded but the food is amazing!"], "output": "[['restaurant general', 'positive'], ['ambience 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": ["Myagi is one of my favorite restaurants in the City; the place the negative reviews describe sound like they were somewhere else.", "I've never had bad service and the fish is fresh and delicious.", "Their tuna tartar appetizer is to die for."], "output": "[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The view is spectacular, and the food is great.", "Wonderful strawberry daiquiries as well!", "Definitely worth the trip to Battery Park City!", "One of my favorite places in Manhattan."], "output": "[['location 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": ["Overpriced and not tasty ", "The food here was mediocre at best. ", "It was totally overpriced- fish and chips was about $15.... ", "There are so many other great places to go to eat and drink..... this place is not worth it..."], "output": "[['food prices', 'negative'], ['food 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": ["Super YUMMY Pizza!", "I was visiting New York City with a friend and we discovered this really warm and inviting restaurant.", "I LOOOVE their eggplant pizza, as well as their pastas!", "We had half/half pizza, mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza!", "We had fun eating in there, we were there like around 3 a.m. in the morning!", "Will comeback for sure, wish they have it here in LA.."], "output": "[['food quality', '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": ["As a fan of Thai, I have tried quite a few different restaurants in NYC and this one was definitely the worst.", "The food was not fresh, the sauces were bland and very oily.", "It just wasn't Thai."], "output": "[['food 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": ["Faan is sooo good.", "The best pad thai i've ever had.", "The design and atmosphere is just as good.", "bottles of wine are cheap and good.", "What more could you want?"], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['drinks prices', 'positive'], ['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": ["Love the scene first off- the place has a character and nice light to it..very fortunate, location wise.", "The pizza was pretty good and huge.", "The price very reasonable.", "We were 4 and got the family size penne a la vodka which was tremendously gigantic portion...a bucket of food literally.", "We got most of it back at home with us.", "I would say that all was fine and tasty but the heaviness on my stomach someting that i can't not mention or undermine.", "The pasta penne was pretty extra buttery, creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count, penne...got a little moody afterwards cause was stuffed...lol"], "output": "[['ambience general', 'positive'], ['location general', 'positive'], ['food quality', 'conflict'], ['food style_options', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I will only buy apple laptops from now on."], "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": ["keys are all in weird places and is way too large for the way it is designed."], "output": "[['keyboard design_features', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Now the speed is disappointing."], "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": ["I've haven't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off."], "output": "[['laptop general', 'positive'], ['ports 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 will be returning 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": ["It's more expensive but well worth it in the long run."], "output": "[['laptop price', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not a necessity, but something I've come to expect."], "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": ["fast easy"], "output": "[['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": ["The touchpad is extremely sensitive, which is the only drawback."], "output": "[['mouse 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": ["Then they had me jump through many hoops and questions to see if they could find another way to invalidate me."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["*IF YOU ARE LOOKING FOR A GOOD LAPTOP, THIS IS NOT 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": ["The screen is huge and coloful, but no LED backlighting."], "output": "[['display design_features', 'negative'], ['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": ["No, tey don't even support their own bios and it \"could be a problem with the bios\" How can a company that makes a fairly decent product get away with such insanity??!!"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have a little bit of a learning curve with the keyboard shortcuts."], "output": "[['keyboard 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": ["Now I have dual booted my laptop to Windows 8.1 and Ubuntu 14.04 and it's not got too slow either."], "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": ["its more like a snail crawl."], "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": ["I would recommend this laptop to anyone looking to get a new laptop who is willing to spend a little more money to get great quality!"], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['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 biggie though is the fact that it disconnects from the internet whenever if feels like it, even when the strength bar is filled."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I droped this once from thetable when my baby girl grabed me one day and IT is still working with NO issues!"], "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 graphics are great."], "output": "[['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": ["My only concern is that since the battery is not external, I will not be able to change it out once it starts not to hold a good charge over a length of time."], "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": ["Ease of use is just one of the benefits I love about my Mac."], "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": ["B) a DVD/CD player."], "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": ["It is not ideal for children because of the temp."], "output": "[['laptop quality', 'negative'], ['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": ["Slick design and looks great."], "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": ["It gives me the power and speed that I need to run all the programs I use to edit."], "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": ["Count me as extremely satisfied, it's a perfect 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": ["overall i would recomend this to anybody and tell them that if they want to burn their music or play there video games to buy the cd drive."], "output": "[['laptop general', '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": ["Basic computer."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would tell the technician I knew\u00a0exactly\u00a0what was wrong with it but they did not listen and I had to go through a bunch of junk to get them to tell me I needed to send the computer in."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Computer Is Horrible Its To Slow."], "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": ["Then the hard drive failed;"], "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": ["Highly recommend for daily use."], "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": ["Am very glad I bought it, great netbook, low price."], "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": ["The only time I have restarted is during system updates."], "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": ["Internet is fast and reliable, battery life lasts a long time."], "output": "[['laptop connectivity', '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": ["At first when I got this product, I loved it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am also glad it doesnt get too hot when left on for an extended period of time."], "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": ["also the keyboard does not liht up so unless your sitting in a room with some light you cant see anything and thats bad for me because my boyfriend tends to watch tv in the dark at night which leaves me with no way of seeing the keyboard."], "output": "[['keyboard design_features', 'negative'], ['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": ["Since I purchased my Toshiba netbook, I have been very pleased with it, I have a laptob and a desktop."], "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": ["Pretty premium feel for the low 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": ["Was this product worth my time and money to ever want to purchase another products that is toshiba or relating to toshiba?"], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["From the second you open the box you will fall in love with 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": ["So when you do call to complain about the hunk of metal you get the joy of speaking with a bunch of people you cant understand."], "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": ["With awesome graphics and assuring security, it's perfect!"], "output": "[['graphics general', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Pretty 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 stopped working 31 days after purchase."], "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": ["LOOKS LIKE THIS DELL IS A PIECE OF 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": ["Besides the great look, it is a great 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": ["In the first moth of owning this computer its hardrive failed which had to be 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": ["I never have had a good result 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": ["It has a quick start up and shut down time."], "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 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."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Only drawback is no LED to show when the hard drive is being accessed."], "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 laptop is fast and you will literally learn all you can do with this dynamo by just watching the online tutorials."], "output": "[['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": ["I did have to replace the battery once, but that was only a couple months ago and it's been working perfect ever since."], "output": "[['battery quality', 'neutral'], ['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": ["Oh and it has word and stuff but its a trial verion so after about a month or so when you go to open it it asks for a product key which didnt come with the computer and even after clicking cancel it wont let you use it at all I use the old word processer which works good."], "output": "[['software 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 technical service for dell is so 3rd world it might as well not even bother."], "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": ["Kind of annoying, but I still love the 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": ["All for such a great price."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great wifi too."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am going to go back and return at Store I bought from!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba Net book operates very well."], "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": ["In the past four years I've had it I have never once gotten a virus."], "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 graphics on this computer are also stellar - very clear and vivid."], "output": "[['graphics 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 the 15\" MacBook Pro."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only downfall is the volume control."], "output": "[['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": ["AND the best part is that it even comes with a free printer (when they have a certain promotion/offer going, of course)!"], "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 still going."], "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": ["Start up time took forever everything runs very slowly."], "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": ["It was not clear that the Microsoft Student Edition that was loaded on the computer, was a six month trial."], "output": "[['software 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": ["This Notebook restarts every time there is a new update, so if you don't save your files and information, everything will be lost."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The 4 USB ports are nice, but the two on the side only work now and then."], "output": "[['laptop design_features', 'positive'], ['ports quality', 'negative'], ['ports operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop isn't worth a single cent."], "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": ["So far so good with 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": ["Its hard to encounter a problem on a mac that would require such abrupt action."], "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": ["Awesome laptop and the perfect size to carry around in college."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["She said its very user friendly."], "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": ["This computer I used daily nice compact 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": ["Great product by Apple with the new great looking design."], "output": "[['laptop general', 'positive'], ['laptop design_features', '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 laptop leaves alot to be desired, I have had it only 5 months and have had to send it away to be repaired twice..."], "output": "[['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": ["Nice and portable and definitely a decent enough system to keep you entertained while sitting in the airplane for a couple of hours, or at the hotel taking care of some last minute details and documents."], "output": "[['laptop general', 'positive'], ['laptop portability', '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": ["Needs longer lasting battery, More than 1 to 2 Hrs."], "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": ["He loves it and it is easy to use and well the schools start teaching the kids early about computers so it was easy for him to get started."], "output": "[['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": ["Well, I started using Google Chrome, which is a little better, but it freezes too sometimes."], "output": "[['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": ["You can do it all on this bad boy but the main thing this netbook was desinged for was surfing the web and boy o boy does it ever."], "output": "[['laptop 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": ["Apparently well-built and gorgeous to look at, the i5 MacBook Pro is a winning combination of price and performance."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop suits my needs: as i am currently studying online and just need a computer for that purpose."], "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": ["When you click and don't wait."], "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": ["It has met 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": ["for the price this is a super product out of the box."], "output": "[['laptop price', '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": ["This MacBook is an outstanding product with great value."], "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 I'm looking into the return process, which I'm sure will just be loads of fun, if my prior experience is any indication."], "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 love this ultrabook"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am loyal to Apple."], "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": ["And if you are a game player it works with World Of Warcraft wonderfully."], "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": ["Summary: They played games with me for the warranty period."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It takes a long time to get on the Web and to change Web Sites."], "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": ["Oh, it is such a great piece of equipment."], "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 best thing about this laptop is the price along with some of the newer features."], "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": ["I don't understand why only Windows 7 Starter is included."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["while the keyboard itself is alright, the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons."], "output": "[['keyboard general', 'neutral'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Then just the other day, my left \"mouse\" button snapped!"], "output": "[['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": ["NEEDS MORE INSTRUCTIONS WITH 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": ["Don't buy this model."], "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 wasn't disappointed in its performance."], "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": ["still testing the battery life as i thought it would be better, but am very happy with the upgrade."], "output": "[['battery operation_performance', '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 have never had to shut down the computer unexpectedly and the computer has never froze on me."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great laptop for the price."], "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": ["At my age, I need this kind of 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 bought this laptop Was the worst Laptop I've ever bought."], "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 would like to tell you about the best laptop I just got from Mac."], "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": ["They only stay charged a little over an hour."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This system came loaded with Windows 7 Starter."], "output": "[['os general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["And while tapping the mousepad to try to get it to work, your palm would inevitably touch the side which would pull up the side windows and block your ability to find the mouse."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is now my 3rd MacBook Pro and I really honestly 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": ["Terribly 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": ["Great sound quality too."], "output": "[['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": ["Wifi card not working right out of the box."], "output": "[['laptop connectivity', 'negative'], ['hardware quality', 'negative'], ['hardware 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": ["with the switch being at the top you need to memorize the key combination rather than just flicking a switch."], "output": "[['laptop design_features', '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": ["I am very happy with 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": ["But, it works really slowwwwww!!!"], "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": ["Some features arent friendly ( volume wheel, sound quality, etc."], "output": "[['laptop usability', 'negative'], ['multimedia_devices usability', 'negative'], ['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 like 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 they can fix this, I think it would be a very nice, cost-effective laptop."], "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": ["You are getting what you pay for and in my opinion, it is worth more."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am able to play 720p and 1080p media files just fine with 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": ["I had to adjust my mousepad sensitivity, because it is very sensitive."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Waiting for the i7 was well worth it, great value for the price."], "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 do everything on this computer - check email, facebook, shop, check blogs, write papers, listen to music, and we even watch all of our movies on it since we do not have a tv."], "output": "[['laptop 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": ["It could be lighter, but couldn't everything."], "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": ["It had most of the features and all of the power that I wanted to replace my desktop machine."], "output": "[['laptop 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": ["Mac is not made for gaming."], "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": ["was a great deal i will give that."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My friend reports the notebook is astonishing in performance, picture quality, and ease of use."], "output": "[['laptop operation_performance', 'positive'], ['display quality', '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": ["So far I haven't lost any quality or information."], "output": "[['laptop quality', '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": ["After purchasing this thing, I find out that I need a special interface device to connect my camera, and that it cannot be purchased at the store - only on line."], "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": ["The machine has a bluray player the book has no mention of it or how to connect it to your HDTV."], "output": "[['laptop miscellaneous', '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": ["It's like 9 punds, but if you can look past it, it's GREAT!"], "output": "[['laptop general', 'positive'], ['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 has bein into the shop to get a new hardrive 2 times and to fix the touch control buttons on the keyboard!"], "output": "[['keyboard quality', 'negative'], ['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": ["The rep did not even answer my question, I had to ask him, if he understood what I ask or if he spoke english because he didn't even try to acknowledge my question."], "output": "[['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 drives me crazy when I want to download a game or something of that nature and I can't play it because its not compatable with the software."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop is absolutely horrible."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The acer one compuer 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": ["Everything from the design to the OS is simple and to the point."], "output": "[['laptop design_features', 'positive'], ['os usability', '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": ["It makes doing schoolwork at night so much easier."], "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 challenge anyone to show proof that through anywhere near normal use can get more than 2.5 hrs out of it."], "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 have had it for almost four years now and I have only had a few problems with it."], "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": ["Could lose another pound or two."], "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": ["Overall, this laptop is definitely a keeper with its simple yet stylish design and its array of fantastic colors to choose from."], "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": ["The screen is bright and the keyboard is nice;"], "output": "[['display quality', 'positive'], ['keyboard general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Things just work, they are fluid, easy to use and understand, fast and work well."], "output": "[['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": ["Also, I have had alot of trouble with the keys sticking and will not type correctly."], "output": "[['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I replaced stock drive with WD Black 7K drive and is still quite slow."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The problem I had with this unit was unresolvable."], "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": ["No tutorials on the display."], "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": ["Thinking about returning 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": ["It came with no instruction book - no back up CD's and has already crashed."], "output": "[['laptop miscellaneous', 'negative'], ['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": ["If you are looking for something reliable, this is the laptop for you."], "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": ["Overall, it's ok."], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Look and feel is good."], "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": ["I thought the price was great for the specs."], "output": "[['laptop price', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["but after i got used to it i love 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": ["Summary: I've had this laptop for 2 months, out of the blue the power adapter stops working."], "output": "[['power_supply quality', 'negative'], ['power_supply 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 would shop around for a better one."], "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 have Vista, so I am unable to install and uninstall\u00a0 some programs."], "output": "[['os general', '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": ["It's perfect!"], "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 wanted to purchase the extended warranty and they refused, because they knew it was trouble."], "output": "[['support 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": ["Computer 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 would recommend this product."], "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 put that free app on for word processing and it works like a charm."], "output": "[['software 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 is an over-sized, 18-inch laptop."], "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 small enough to fit in one of my purses!"], "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": ["It is exactly what I expected, and the price is excellent!"], "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": ["Would definitely recommend for those who are \"technologically ignorant\""], "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 honestly love my mac, thats why I am a self proclaimed mac addict."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It was still working, but there was nothing on the screen."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I use it for school, its quick and has everything I need on it."], "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": ["i can run somewhat modern games like Skyrim and Fallout New Vegas with no issues."], "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": ["GREAT INVESTMENT!"], "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 needed one to be able to carry to work everyday and this one seems to fit all of the criteria."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not to mention the fact that your mac comes fully loaded with all necessary basic programs."], "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 track pad to me is what really stands out though, you can do several different things with it just depending on how many fingers you use on the track pad, awesome thinking Apple!"], "output": "[['mouse design_features', 'positive'], ['mouse usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Delivery was early too."], "output": "[['shipping 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 even has a great webcam, and Skype works very well."], "output": "[['laptop design_features', 'positive'], ['multimedia_devices general', 'positive'], ['software 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": ["they have done absolutely nothing to fix the computer problem."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would definitely recommend this!!"], "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": ["Battery life is astonishing given the processing power and high resolution display."], "output": "[['battery operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Windows runs very poorly."], "output": "[['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["this laptop is great for work and doing my pictures."], "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": ["Just what the doctor ordered."], "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 wiped nearly everything off of it, installed OpenOffice and Firefox, and I am operating an incredibly efficient and useful machine for a great price."], "output": "[['os general', 'negative'], ['laptop price', 'positive'], ['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": ["Firstly, it has no leds to let you know what is going on, no cap lock, no hard drive indicator, nothing."], "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": ["I can appreciate why she recommended 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": ["Bottom line, I doubt you'd be overly disappointed if you invest in this machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is extremely portable and easily connects to WIFI at the library and elsewhere."], "output": "[['laptop portability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very fast boot up and shut down."], "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": ["GREAT value laptop!"], "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": ["The pictures are clear as can be."], "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": ["Summary: Dont buy HP."], "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": ["Recommended to people as their first laptop."], "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": ["pretty much everything else about the computer is good it just stops working out of no were."], "output": "[['laptop general', 'positive'], ['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": ["HP Pavilion DV9000 Notebook PC      When I first got this computer, it really rocked."], "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 seems like Lenovo also makes weird choices about which side to put the powercord and other slots on."], "output": "[['laptop design_features', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop is amazing!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So, after Apple replaced the hard drive I enjoyed another 4 months of my new computer, until it froze this morning--completely."], "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": ["It was nearly impossible to find a laptop that had A) a side keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Has a built in camera which i do not use."], "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": ["7.Expensive."], "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 would \u00a0say if you want to buy one of these machines be careful."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Dell is quick enough, sturdy, not good with finger prints."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The cords always feel like they are in my way."], "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": ["I love it so much."], "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": ["Ease of use is just one of the benefits I love about my Mac."], "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 can't believe this was just $250"], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It doesnt work worth a damn."], "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": ["Not bad."], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Right out of the box, this little netbook did everything I asked of it, including streaming the everyday video you're bound to encounter checking mail and websites (my biggest complaint previously)."], "output": "[['laptop 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": ["Good monitor and performed well."], "output": "[['display general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Although my model was listed as recalled, HP denied my claim."], "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 feel that it was poorly put together, because once in a while different plastic\u00a0pieces\u00a0would come off of 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": ["Then, within 5 months, the charger crapped out on me."], "output": "[['power_supply 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": ["Dealing with HP support is a ridiculous and painful experience."], "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's been a very easy transition moving my Windows created files over to the Mac."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The programs are great, like iphoto (love the editing capabilities), imail (which can incorporate with the address book on the ipod and ipad), imovie, etc."], "output": "[['software general', 'positive'], ['software 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 just bought this computer from the Apple Store, and I couldn't be more impressed with 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": ["It's catatonic."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The retina display is fantastic."], "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": ["The processor is very quick and effective as I load webpages and applications."], "output": "[['cpu 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": ["Apparently there is a manufacturing defect, something with the amount of thermal paste."], "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": ["The only thing I would change about it is the mouse keys."], "output": "[['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": ["It's graphics aren't bad at all, for the lower end of the MacBook Pro spectrum, easily capable of running StarCraft II and other games with comparable graphics."], "output": "[['graphics 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": ["Now the graphics are not HD...and the reason that it is light is that it is really basic (medium low grade) plastic."], "output": "[['graphics 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": ["Another issue I have with it is the battery."], "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": ["Second, it gets scratches easily and when it gets old some thing may operated"], "output": "[['laptop quality', '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": ["It is SO much fun to play with."], "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've always sworn by dell."], "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": ["Oh yea, has no numeric pad on the side."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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."], "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 the glass touchpad."], "output": "[['mouse 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 would recommend it just because of the internet speed probably because thats the only thing i really care about."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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": ["I highly recommend this product!"], "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": ["wonderful features."], "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 can barely use any usb devices because they will not stay connected properly."], "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": ["Three weeks after I bought the netbook, the screen quit working."], "output": "[['display quality', 'negative'], ['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop is insane!!!"], "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 this computer every breaks down on me i will most definatly get the same one again."], "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": ["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": ["I bought this netbook for traveling, and it's great - light, functional, and meets my needs."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', '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": ["All you have to do is turn it on and it works."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is a big big, but since it has a 18.4\" screen what would you expect!"], "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": ["My mac laptop is fabulous in both areas."], "output": "[['laptop operation_performance', 'positive'], ['memory design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["sounds like a typewriter, but if you can get past that, this is a great laptop for a little money!"], "output": "[['mouse quality', 'negative'], ['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's great and we will always stick with Apple computers, we have been so happy with 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": ["So far I am very happy with 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 custom ordered the machine from HP and could NOT understand the techie due to his accent."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is wide and provides excellent clarity."], "output": "[['display design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you're looking for something to fly through those massive spreadsheets or play a graphics-intensive game, you'd be better off getting a machine aimed at that segment of the market."], "output": "[['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": ["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": ["Everything I have tried has worked and I never have to carry the wall charger cause the battery is so awesome."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing I don't understand is that the resolution of the screen isn't high enough for some pages, such as Yahoo!Mail."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would not recommend this product to anyone."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The hard drive crashed as well, and I had to buy a new  power cord."], "output": "[['hard_disc quality', 'negative'], ['power_supply quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is something i would deffinately reccomend to someone."], "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": ["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)."], "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": ["Dell Latitude d620 is not a reliable machine."], "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": ["The hdd has a scratching noise."], "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": ["the mouse on the pad, the left button always sticks."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would recommend not buying this product."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The 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 just works flawlessly!"], "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": ["No problems, no lock ups, no disappointments."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only negative would be that it gets pretty warm sitting on my lap for very long, but that is pretty much standard for all lop tops I think."], "output": "[['laptop 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": ["2 months later, the battery went."], "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": ["Also, the space bar makes a noisy click every time you use it."], "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": ["The only bad part is the size/weight."], "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 has a stunning retina display, and is very fast."], "output": "[['display general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Simple to use, and great graphics."], "output": "[['laptop usability', '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": ["Breaking within 1 year of purchase and speaking to 4+ people to report the damaged part will be returned late!"], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Its white color is stylish for college students and easy to take to carry and take to classes."], "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": ["works good but doesn't seem like it's made sturdy."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV."], "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": ["This laptop is very large and barely fits in any carrying cases."], "output": "[['laptop design_features', 'negative'], ['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A smaller touchpad would make life easier for Computer Science students or IT people much more easier."], "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": ["Didn't work when shipped from Walmart.com but went into a store and exchanged for a working laptop (same make/model)."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'ts nice to have the higher-end laptops, but this fits my budget and the features I need."], "output": "[['laptop quality', 'positive'], ['laptop design_features', '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": ["The delivery was fast, and I would not hesitate to purchase this laptop again."], "output": "[['shipping quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I definitely will buy a Mac again if and when this computer ever fails."], "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": ["Great laptop for school, easy to use for beginners in the household."], "output": "[['laptop miscellaneous', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I 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": ["Has met or exceeded my needs for a compact travel device."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If people are writing bad reviews about this laptop then believe what they say."], "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": ["Would have exchanged instantly - but had to use as if for College immediately."], "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 would be a load on long trips where a lot of walking is required."], "output": "[['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i tried turning it done but it did nothing."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So far, so good!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But no one could tell me when my part would be shipped nor could they tell me where to buy it ON THEIR WEBSITE!!!"], "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 being so small it is amazing that it is as fast as it is."], "output": "[['laptop design_features', '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": ["I would definitely suggest 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": ["The pro is a great product, I wish that the 13 inch models came with the Intel i processors and had a more comfortable edge (the edges hurt my wrists)."], "output": "[['laptop general', 'positive'], ['cpu miscellaneous', 'neutral'], ['laptop design_features', '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": ["For the not so good, I got the stock screen - which is VERY glossy."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["then on top of it all their cusromer service center is in the middle east."], "output": "[['support 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": ["What 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": ["The biggest problem I have is the right side and top of the touchpad is unresponsive."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So this was great for me."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They are fine while the free subscription is going, but a pain when they start asking you to spend money every time you login."], "output": "[['software general', 'positive'], ['software 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": ["Battery doesn't last long web browsing (2.5 hours maybe)."], "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": ["There is a small red circle next to it with a x in the middle, and when I click on it it says: \" Consider replacing your battery\" and it does not hold full charge."], "output": "[['battery operation_performance', 'negative'], ['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": ["Excellent keyboard and crisp screen."], "output": "[['keyboard general', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This thing is 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": ["Meh...but cheap."], "output": "[['laptop general', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They are so realistic I am just speechless."], "output": "[['graphics 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": ["TOSHIBA WILL NOT ACKNOWLEDGE THIS 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": ["Its a very basic laptop."], "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": ["Very good price."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The speakers are terrible and are probably the cheapest ones I have ever seen in a laptop so if your planning to listen to music I suggest you get something better."], "output": "[['multimedia_devices general', 'negative'], ['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": ["My hp G60-244dx died after only 16 months."], "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": ["The Thing That You Insert CDs Into Won't Open."], "output": "[['optical_drives 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 only other complaint is that it gets really 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": ["Its a good laptop for its value."], "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": ["And of course, the return window closed last week so now, I'm stuck with 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": ["The battery seems adequate for most uses ~ 4.5 hour use/charge."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba Satellite laptop is  DESIGNED  to fail !"], "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": ["Sound, quality and touchscreen are awesome!"], "output": "[['multimedia_devices quality', 'positive'], ['laptop quality', 'positive'], ['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": ["It's A MAC!!"], "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 is a cheap throw together."], "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": ["Keeps freezing"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The computer first started malfunctioning 3 months after purchasing 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": ["All my devices work flawlessly."], "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 was said it's videocard."], "output": "[['graphics 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 hate 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 fine Apple MC373LL/A 2.66GHz 15\" Macboook Pro Notebook meets all my needs for a laptop computer when on the go."], "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 device serves all modern requirements is a very strong game and is very useful for designers."], "output": "[['laptop 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": ["Expensive but worth it."], "output": "[['laptop price', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Bigger screen than expected, laptop with a desktop design that is really nice to use for all types of usage, including programming/editing"], "output": "[['display design_features', 'positive'], ['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 first fell apart right after the 1-year-warranty."], "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": ["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."], "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 can't begin to say how disappointed I am."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The cover is a soft rubber texture without the friction."], "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": ["tons of bloatware and junk programs."], "output": "[['laptop design_features', 'negative'], ['software 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 what a laptop is supposed to be."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Keyboard is great but primary and secondary control buttons could be more durable."], "output": "[['keyboard general', 'positive'], ['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": ["Windows 8 is not supported by a lot of things!"], "output": "[['os 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 speed is incredible and I am more than satisfied."], "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": ["Probbly the worst decision we ever made!"], "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": ["Didn't expect to repair it at once!"], "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 have recommended this laptop to everyone I know who is buying one."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you need an affordable, entry-level laptop, this will fit the bill."], "output": "[['laptop price', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the only problem is that i had to add 1 gb RAM, the computer was kinda slow."], "output": "[['memory design_features', '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": ["Web access through the 3G network is so slow, it's very frustrating and VERY DISAPPOINTING."], "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": ["The only thing that I have, is the key broad is a little dark to see the letters, would help if it was a little lighter then it is."], "output": "[['keyboard design_features', 'negative'], ['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": ["With all the goodies inside this machine, it is a value."], "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": ["I was looking too closely at the other performance specs and while comparing, I took it for granted that these features were standard."], "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 well worth the money it cost, Very good investment."], "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": ["Even for a 4GB RAM it barely chugs with 3 tabs open."], "output": "[['laptop operation_performance', 'negative'], ['memory 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": ["Also, when you try to download a large file, like a video, it will start out normally, downloading at around 600kb/sec and over the course of a couple of minutes will slow waaaaaay down to around 20kb/sec, making a download of a couple minutes into several hours making it worthless."], "output": "[['laptop connectivity', 'negative'], ['laptop operation_performance', '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": ["Love the key layout and the built-in mouse pad - all work well and are properly sized."], "output": "[['keyboard design_features', 'positive'], ['mouse design_features', 'positive'], ['keyboard operation_performance', 'positive'], ['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": ["If you have the money I suggest going for the i7."], "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": ["5) Cut my losses and sold it for parts"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The pair allow for seamless navigation throughout the whole interface."], "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 don't like it at all..."], "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 constantly had to send my laptop in for services every 3 months and it always seems to be the same problem that they said they had already fixed."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It immediately recognized the printer and was ready to go."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is nice and the images comes very clear, the keyboard and the fit just feels right."], "output": "[['display general', 'positive'], ['display quality', 'positive'], ['keyboard 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": ["Screen is clear and bright."], "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": ["My favorite part of this computer is that it has a vga port so I can connect it to a bigger screen."], "output": "[['laptop design_features', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great price and computer!"], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Also, the extended warranty was a problem."], "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": ["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": ["As a graphic arts a retired instructor I still love to play with the graphic with photos and clip art ....."], "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 click."], "output": "[['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": ["This laptop is amazing!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The worst computer I have ever laid my eyes upon."], "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 enjoy very much my new Toshiba, purchased specifially for attending online schooling."], "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 laptop does NOT have an RJ-45 Ethernet adapter for wired network connection."], "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": ["awesome price for a laptop that lasts more than 8 hours without recharging!"], "output": "[['laptop price', '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": ["They told me it was my loss even though it was the computer, not  what I've 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": ["Seems to slow down occassionally but can run many applications (ie Internet tabs, programs, etc) simultaneously."], "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": ["It started out getting hot after only a few months."], "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": ["They definitely have a superior product!"], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You will regret it if you buy any dell."], "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": ["Screen broke 1 month outside warranty."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm pleased."], "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 display on this computer is the best I've seen in a very long time, the battery life is very long and very convienent."], "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": ["The system sometimes lags a lot."], "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": ["I plugged it into my existing printers and it just worked, no fuss no muss."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I tried to upgrade it to a newer version a couple of months ago and I still have the same problem."], "output": "[['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": ["The performance is awesome."], "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": ["Keyboard was also very nice and had a solid feel."], "output": "[['keyboard general', 'positive'], ['keyboard quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this 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 will never buy another computer from Dell ever again do to how awful it worked and how I was treated by the company."], "output": "[['company general', 'negative'], ['laptop operation_performance', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is easy to use, good quality and good price."], "output": "[['laptop usability', 'positive'], ['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": ["Using this machine is like a mild form of torture."], "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": ["If you shop around in the current market you can find a much better deal."], "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": ["both upgrades were quickly accomplished after purchasing the necessary Product Key."], "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": ["Avoid Acer."], "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 laptop preformed pretty well."], "output": "[['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Apple is unrivaled in terms of build quality and functionality."], "output": "[['laptop quality', 'positive'], ['laptop 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": ["It is also extremely pleasing to the eyes without looking too much like an Alienware gaming machine."], "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": ["If I had to buy another computer, I would most definetly buy an acer one computer."], "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": ["1) Payed $2200 for a \"premium\" laptop"], "output": "[['laptop price', '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": ["HP is more interested in selling extended warranties (which cost more than the netbook new) then they are in helping or fixing."], "output": "[['support quality', 'negative'], ['warranty 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": ["After 4 days, being denied 6 times and told off once, I managed to get through and was able to send them a scanned copy of the receipt."], "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": ["Its good for playing my apps on Facebook or watching movies."], "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": ["Heavy gaming is definitely not it's strong point."], "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": ["High price tag, however."], "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": ["Works very well."], "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": ["The \"Time remaining\" goes from 4 hours plus to less than 2 hours over the span of about 10 minutes."], "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": ["The second one, after a little over a month, refused to turn on even with a full charge."], "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": ["this laptop is durable and it is easy to travel with."], "output": "[['laptop quality', '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": ["Functions well."], "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 have now been waiting almost a minute for the computer management window to open!"], "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": ["Later it held zero charge and its replacement worked for less than three months."], "output": "[['battery quality', 'negative'], ['battery 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 most recent being that my Safari internet browser is freaking out on me, but I have just been using firefox instead."], "output": "[['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'm also not a fan of Windows 8, but fortunately I can install whatever I want on the laptop without issue."], "output": "[['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": ["Very light and beautiful."], "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": ["His language was so bad I swore I was taking the turing test, and it was failing."], "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's great for what he uses it for."], "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 get a ton of compliments on its size, and speaking as someone who regularly commutes on a bus, I can attest to the fact that this is the perfect size computer if you're restricted to the width of your body for computing room."], "output": "[['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": ["I am not going to sit here and complain about it not having a cd drive and what not because it is a netbook, it is made to be compact and if you want all the other stuff get a laptop."], "output": "[['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 would totally recommend any other laptop over this pile of grabage."], "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": ["Uhhhhhh, the computer looks good."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a great value for the money."], "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": ["We haven't used it enough or had it long enough to give it 5 stars, but so far it has been a very good laptop."], "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": ["When I saw this I grabbed 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": ["It has just enough RAM to run smoothly and enough memory to satisfy my needs."], "output": "[['laptop operation_performance', 'positive'], ['memory design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["And the settings are simply annoying."], "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": ["Do yourself a favor and invest in a few external harddrives if you are planning on purchasing this laptop."], "output": "[['hard_disc 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 was slow, locked up, and also had hardware replaced after only 2 months!"], "output": "[['laptop 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": ["It's a long and tirring process that after a while it seems like their game plan was to wear you out so you would want to give up on contacting them."], "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": ["Overall for the money this is a good deal."], "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": ["The laptop is beautiful, not extremely light but thin enough and wide screen with a full keyboard."], "output": "[['laptop design_features', 'positive'], ['display design_features', '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": ["10 plus hours of battery..."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't expect it to be a champion performer so if you want to play games or whatever this is not the computer for you."], "output": "[['laptop operation_performance', 'neutral'], ['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love to write and play with graphics and html programming and my new Toshiba works great on both!"], "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 couldn't believe how long the battery lasted on a single charge."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is super fast, and always loads."], "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": ["When the computer has been on for several minutes, it will occasionaly just go off by itself."], "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": ["upon giving them the serial number the first thing I was told, was that it was out of warranty and I could pay to have it repaired even though I had the receipt in front of me proving it still had 2 months left on the warranty."], "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 Laptop is the Best of the best!"], "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 ok."], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Needed a 2 usb adapt. for network plug, no problem."], "output": "[['laptop connectivity', '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": ["Upgrading from Windows 7 Starter, thru Windows 7 Home Premium, to Windows 7 Professional was a snap;"], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["At 16 months it started shutting off after only 5 or 10 minutes."], "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": ["It's just as fast with one program open as it is with sixteen open."], "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": ["The Lenovo software that comes preinstalled may qualify as bloatware but is easily removed if you're not interested in it."], "output": "[['software general', 'neutral'], ['laptop design_features', 'neutral'], ['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": ["It is very user friendly and not hard to figure out at all."], "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": ["It is a thing of beauty and fast enough."], "output": "[['laptop 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": ["it is the worst computer dell ever made."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The program came with the computer and works beautifully."], "output": "[['software operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It gets the job done in terms of having a computer that can browse the web, use Word/Excel, and the like."], "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": ["Other than the slow CPU it works great for everyday use."], "output": "[['cpu operation_performance', 'negative'], ['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 is another driving influence that made me purchase this laptop."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Like i said, Good for basic stuff and as a starter."], "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 desktop was clean once I got it up and running."], "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 had to pay for the shipping!"], "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": ["My MacBook Pro has been a huge disappointment."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But other than that I am blown away by all the features this laptop offers."], "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": ["If it had a 4,5 star option, that is what I would give."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very fast and efficient!"], "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 love ths 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": ["I was told by many  that it was a great computer, but we got one of these, and it worked  great for one year, and as soon as the warrenty was up, then it got  really bad."], "output": "[['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": ["Battery is lasting about 6 hours as I am surfing the web on Sundays while checking football scores and watching funny Youtube videos."], "output": "[['battery 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": ["HOW DOES THE POWER SUPPLY NOT WORK!!!"], "output": "[['power_supply 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 a great value for what you get."], "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": ["My Mac has gone from being a trusted friend to an adversary."], "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's color is even cool."], "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": ["None of the techs at HP knew what they were doing."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Just what I expected."], "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 wish I had bought this sooner!"], "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 laptop does everything I need it to very well."], "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 wasn't really as concerned about portability (it's a very large laptop) but it's not hard to move around or take on a trip which was a pleasant surprise."], "output": "[['laptop design_features', 'neutral'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["COMPUTER HAS BEEN AT SERVICE FACILITY MORE THAN IN MY HANDS."], "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": ["Other than that I don't have one complaint in the world!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["it has 3 usb ports, 1 sd memory card reader and an sd memory car expansion."], "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": ["Needless to say, not to happy with the product."], "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": ["Can not believe the price!"], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They really do have the worlds very worst repair service."], "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": ["Would purchase again."], "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": ["In addition, all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations."], "output": "[['software design_features', 'positive'], ['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 had the full sized touch pad with 2 buttons instead of just one."], "output": "[['mouse 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": ["For $250, I highly recommend!!"], "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": ["Excellent LED monitor and well equipped."], "output": "[['display design_features', '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": ["Laptops are usually used on the go, so why not give you a better battery?"], "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": ["The only downfall is a lot of the software I have won't work with Mac and iWork is not worth the price of it."], "output": "[['software usability', 'negative'], ['software general', 'negative'], ['software 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": ["Speakers too small to be of any real use."], "output": "[['multimedia_devices design_features', 'negative'], ['multimedia_devices 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": ["There is nothing to complain about the system."], "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": ["Im glad that it has such great features in 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": ["It is very, very quiet."], "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": ["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 will never buy another Lenovo anything!"], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen resolution is crystal clear, the speakers are amazing, and the track pad is easy to use."], "output": "[['display quality', 'positive'], ['multimedia_devices general', '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": ["I bought this laptop on Saturday and am completely in love with 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": ["It is speedy when connected wirelessly to any network regardless if the connection is weak or not."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The DVD burner broke after burning 3 DVD'd during that time!"], "output": "[['optical_drives 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 company truely does make horrible products and doesnt seem to because they are certain things like this \"never\" happen..."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i am giviing it four stars instead of five because of no disk drive and the crashing"], "output": "[['laptop general', 'positive'], ['laptop design_features', '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 using the external speaker- sound is good."], "output": "[['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": ["I've owned this labtop for less then two months, already the mouse button has broke."], "output": "[['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": ["The flaws are, this computer is not for computer gamers because of the OS X."], "output": "[['laptop miscellaneous', 'negative'], ['os 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": ["So buyer beware when buying Toshiba"], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The netbook is easier for me to take to bed and carry around with me."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["No Lenovo for me."], "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 Was a great deal after all."], "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": ["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": ["This is likely due to poor grounding and isolation between the components, and I'm hoping that it can be fixed with a ground loop isolator, but I still expected better product quality for this price range."], "output": "[['hardware quality', 'negative'], ['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 rarely works and when it does it's incredibly slow."], "output": "[['laptop quality', '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 acually believe the issue is with the Nvidia grafics card, but still requires a return."], "output": "[['graphics general', 'neutral'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["D) was under $300 with shipping."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is good, the whole things is very light and doesn't run hot."], "output": "[['display general', 'positive'], ['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": ["I own a Hewlett Packard laptop and I've had man problems with it since I bought in in Feb, 201"], "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 fast booting up , shutting down, and connection with the internet."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It takes me approximately 3 tries to get to each site, then after closing the browser and reopening it it actually works."], "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": ["So I'm disappointed in that because communicating with my relatives out of the area is a priority."], "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": ["I purchased my Macbook Pro Retina from my school since I had a student discount, but I would gladly purchase it from Amazon for full price again if I had too."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very good quality and well made."], "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": ["And having to deal with the company has been a even worse nightmare."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The machine is slow to boot up and occasionally crashes completely."], "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": ["I saved for this laptop for 3 months and I can tell you personally it was worth the wait."], "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 parents bought it for me as a graduation gift, and i'm totally (almost kind of maybe definitely) obsessed with 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": ["Only issue is that it is a little slow, and I'm fixing that by adding more RAM."], "output": "[['laptop operation_performance', 'negative'], ['memory 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": ["They were able to set-up with labtops themselves within a few minutes."], "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": ["It was too cheaply constructed."], "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 has come into good use for my finances, scheduling, my parents business expenses, and it is definitely amazing for 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 constantly trying to uninstall programs, clean cookies, and delete unused files."], "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": ["This computer is great for someone who is looking to manage their online life(banling, facebook etc) and some basic offline work using MS Office."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is super easy to use."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The letter A stopped working after the first week."], "output": "[['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I had a great experience purchasing my Dell Inspiron i3531-1200BK 15.6-Inch 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'm very happy with it, typing on it right now and it is fast enough for that!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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!"], "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": ["Also, the sound quality from the speakers is crystal clear, and everything is just sleek and smooth."], "output": "[['multimedia_devices quality', 'positive'], ['laptop 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": ["It's fast and has excellent battery life."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Unless you want to be inconvenienced with a non working power supply which you can't find a replacement for because they made the attachment so small."], "output": "[['power_supply operation_performance', 'negative'], ['power_supply 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": ["I would  rather spend my money on a computer that costs more then a Toshiba that  isn't good at all."], "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": ["C) a large hard drive instead of using the Cloud"], "output": "[['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Unimpressed."], "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": ["sometimes you will be moving your finger and the pointer will not even move."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So having the AC plug go out on me and get lose or I could actually here it inside my computer on two of the three times is not good."], "output": "[['power_supply 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 bloatware from third party parasites to uninstall."], "output": "[['software 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": ["They are asking me to ship the unit back to fix it at their site."], "output": "[['support 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": ["Perfect trifecta!"], "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 keyboard is backlit but you have to press the F5 key to turn it on."], "output": "[['keyboard design_features', 'positive'], ['keyboard 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 have had to call with a few questions or issues and they have helped me for free, even without the warranty."], "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": ["The Retina is great, its amazingly fast when it boots up because of the SSD storage and the clarity of the screen is amazing as well."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["One of them seems to have worked."], "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": ["Maybe this one is just a dud."], "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": ["English must have been his third or fourth language."], "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": ["great machine if you want to drop the cash for one."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would definitely reccomend this if you are in the market for an easy to use, stylish, fun, awesome computer."], "output": "[['laptop usability', '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": ["It powers on/off very quickly, and it loads up automatically."], "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": ["the mouse is way way way to sensitve."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["so the fact that the computer does not work on the 24 twenty fourth day is my fault."], "output": "[['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": ["Other than that, I would recommend this to someone in need of a cheap laptop with semi-decent gaming capabilities."], "output": "[['laptop price', '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": ["The MacBook Pro is very sturdy and versatile."], "output": "[['laptop quality', '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": ["Strengths:Well-shaped"], "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": ["Not working = bad"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The computer was two weeks late in delivery because HP forgot to complete the required import paperwork."], "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": ["It was secure and easy to navigate."], "output": "[['laptop quality', '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": ["LOVE IT LOVE IT LOVE IT!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very happy with my 7th Toshiba laptop!"], "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": ["Sometimes you really have to tap the pad to get it to work"], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Start up is fine  maybe 20 secs at most, but then to get pages to load on internet is molasses at times."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The laptop was very easy to set up."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is very large and crystal clear with amazing colors and resolution."], "output": "[['display design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I could not even put my entire music collection on this garabage."], "output": "[['hard_disc 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": ["Ever since I bought this laptop, so far I've experience nothing but constant break downs of the laptop and bad customer services I received over the phone with toshiba customer services hotlines."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The computer is as expected, and worth the money."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I don't know how I could ever live without my Qousmio."], "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": ["not a good computer at all."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm glad to have it and it showed up in only a few days."], "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": ["Device is light weight, quiet during operation and produces little to no heat."], "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": ["When I got the computer back and realizwed it still was not correct HP told me it was out of warranty and now it was my problem."], "output": "[['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 little netboook is helping me get work done!"], "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 DOES NOT TURN ON - IF I TAKE THE BATTERY OUT IT MIGHT WORK, NOT SURE IF IT'S A BAD BATTERY OR COMPUTER!"], "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": ["The apple MacBook is the best investment that I have ever made."], "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": ["You'll need to upgrade and pay a little more for them."], "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": ["I was disappointed when I realized that the keyboard doesn't light up on this model."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's clunky, heavy, and a pain to start up and shut down."], "output": "[['laptop portability', 'negative'], ['laptop design_features', '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": ["The only con is Windows effin 8."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have had to send in my laptop three times to get it fixed."], "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 would not let me connect to my Wifi system where I lived."], "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": ["Great for games"], "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": ["Couldnt not use it."], "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": ["Hands down one of my best and most used purchases thus far."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Unless you plan on using a mouse with this laptop, don't buy this."], "output": "[['mouse 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 could not find a phone number anywhere to call an actual live person for tech support and had to result the their online chat."], "output": "[['support 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": ["Eventually the screen went blank and the computer would not turn on."], "output": "[['display operation_performance', '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": ["It works exactly like it did the day I took it out of the box."], "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 can have tabs open while playing YouTube videos and it handles it impressively well."], "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 was surprised  at  the overall quality and the 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": ["It is held in place magnetically."], "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 am a huge computer person i love anykind of computer that works well, but when i got this one i was so happy with the way it works and how it runs its amazing."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It took a little over 2 weeks until i got it back."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The keyboard has a wonderful nature feel."], "output": "[['keyboard 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 battery life is probably an hour at best."], "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": ["Cons:Honestly zero con's ... as a Windows PC user the switch over was seamlessly,  I run Parallel when I need Windows."], "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": ["My daughter uses it for college too and it works great for both of us."], "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": ["All in all I wish I had waited a bit."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You will not regret buying such a great thing like this!"], "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": ["Also, the touchpad is almost 'sticky', which kind of defeats the purpose of a touchpad."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["BUT I should tell you that this laptop does not have the best screen, it's certainly good enough for the average person, but if you're used to good screens this may bother you a bit, but it's certainly not unbearable by anyone's standards."], "output": "[['display 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": ["They went through asking me open up various components, taking battery out, hard disk apart, and after 2 hours on phone could not fix it."], "output": "[['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": ["Save your money and go for a better device."], "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": ["Let's just get this out of the way, I love Apple!"], "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": ["It is so great, I can Hardly ever take my hands off 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": ["Quite pleased with 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": ["That is my only complaint!"], "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": ["Otherwise this is a great computer great prices."], "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": ["The battery has never worked well."], "output": "[['battery quality', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is the easiest computer I have ever used"], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Windows 8.1 used to boot in just 2s and that was freaking awesome."], "output": "[['os operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Toshiba is aware of the issue but unless the extended warrenty is bought Toshiba will do nothing about 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'm so glad that I have."], "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 appreciate the effort to hit affordable pricing Dell but just not worth it."], "output": "[['laptop price', 'positive'], ['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 the downside for me."], "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": ["I wasn't really sure I wanted to spend that kind of money!"], "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": ["Was easy to set up and has been easy to learn to use 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": ["It crashes, and when it goes flat, it just DIES (like a PC, maybe worse) and I loose all my open documents!"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba laptop 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": ["This computer gets very hot, before shutting down."], "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": ["Satisfy what I paid for it."], "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": ["The case is made from cheap plastic."], "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": ["One year of trying to fix the computer by myself, with help of friends, and even help from computer experts I have given up on trying to fix 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": ["The product is average and works well."], "output": "[['laptop general', '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": ["great battery life."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Then 2 of my nephews were going into music and both fell in love with the MacBook Pro."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Then to make matters worst, there is noone that they can transfer you to."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The display is vibrant and clear, the keyboard is well designed and pleasant to type on;"], "output": "[['display quality', 'positive'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The fact that you can spend over $100 on just a webcam underscores the value of this machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Even the sound is fantastic"], "output": "[['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": ["If you're the type of person that just likes to browse the Internet and enjoy media and do light work with Microsoft office, this is the laptop for you."], "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": ["Not good for a person who gets online daily."], "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": ["It does not keep internet signals no matter where you bring it."], "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": ["Does a great job with video shot on a Canon 5D MKII."], "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": ["But, I would recommend this product."], "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 this is an improvement in Customer Service then I would hate too see what it was before!"], "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 will never buy anything from HP again!"], "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 real stand out on this computer is the feel of the keyboard and it's speed."], "output": "[['keyboard 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": ["Overall the computer is very easy to use, the screen is perfect, great computer, my daughter loves."], "output": "[['laptop usability', 'positive'], ['display 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": ["I really wish I had done this years ago."], "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 want to game, this thing can handle League of Legends on medium-low settings, but I certainly wouldn't recommend it for gaming."], "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": ["Also it is very good for college students who just need a reliable, easy to use computer."], "output": "[['laptop miscellaneous', 'positive'], ['laptop quality', '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": ["great product."], "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": ["However, the multi-touch gestures and large tracking area make having an external mouse unnecessary (unless you're gaming)."], "output": "[['mouse 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": ["Never had a single problem, and don't have to worry about viruses."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Terrific value for the money."], "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 think I might rather suffer for something that is simple to fix in my opinion."], "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 highly recommend this laptop to anybody that wants great performance from a laptop and would like to relax and not become enraged cursing the gods about to throw your laptop out the door."], "output": "[['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": ["I work with kids and they love making short videos on there."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have not had a problem with the applications quitting or freezing."], "output": "[['software 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": ["glad I bought 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 LED backlit display makes my pictures pop so much more."], "output": "[['display design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I should have bought one a long time ago."], "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 especially like the backlit keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Easy to carry, can be taken anywhere, can be hooked up to printers,headsets."], "output": "[['laptop portability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I spoke to 4 different people and was told they needed to transfer me to a 5th person!"], "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 is a great machine!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer periodically crashes (Office, IPhoto, Safari)."], "output": "[['laptop 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": ["The internet capabilities are also very strong and picks up signals very easily."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Nightly my computer defrags itself and runs a virus scan."], "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": ["I was even able to uninstall McAffe and install one of my Symantec licenses with a no issues whatsoever."], "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 did think it had a camera because that was one of my requirements, but forgot to check in the specifications on this one before I purchased."], "output": "[['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": ["Buyer Beware."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the graphics are awful and the wireless switch it at the top rather than the side which I am used to it being on the side."], "output": "[['graphics general', 'negative'], ['laptop design_features', '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": ["The one down side to it is that when I play a certin game on here, it tends to freeze up sometimes, but thats the only bad thing about this computer."], "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": ["All the sturdy and substantial feel you expect from a Thinkpad."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would recommend this to anyone who doesn't need much out of a computer."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["defective software."], "output": "[['software 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": ["Amazing machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I homeschool my kids and with this netbook next to my desk we get to teaching and illustrating without skipping a beat."], "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": ["So with this new order, all the upgrades and windows 8 really caught my eye and I got this for the long haul."], "output": "[['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": ["Paid close to $2800 out the door."], "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": ["only good thing is the graphics quality."], "output": "[['graphics 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 wish Toshiba would allow their customers to select an option that only boots the OS at setup and removes all the unnecessary stuff."], "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": ["I recently purchased the mini and absolutely 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": ["Strong performance in this device makes use of fun and a strong sense of the era of speed"], "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": ["Would not recommend."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["he can't stand 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": ["May be better for the occasional web surfer."], "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": ["Operating a non touch screen on this system is a royal pain!"], "output": "[['os 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 normally dont participate in reviews/surveys but this laptop has not given me any problems and hope to share my thoughts..."], "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 easy to operate and it's very light (my parents are almost 60 yo, they can't carry a heavy computer while traveling)."], "output": "[['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["6.Still feels too heavy to me."], "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 computer is good for anything, and it has really superseded my high expectations."], "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": ["Great product, very easy to use and great graphics."], "output": "[['laptop general', 'positive'], ['laptop usability', '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": ["It's so nice to look at and the keys are easy to type with."], "output": "[['laptop design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["even though I had the receipt in front of me proving it still had 2 months left on the 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 know what 7 hrs of battery looks like."], "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 dislike the weight and size, cubersome."], "output": "[['laptop portability', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["got another 1, and same issue."], "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": ["The mouse is a little bit different than what you're used to though- it has one big flat panel and one full bar (instead of two separate ones) to click with- but you get used to it quite quickly."], "output": "[['mouse design_features', 'neutral'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Keyboard is sturdy."], "output": "[['keyboard 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": ["Our Apple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook and has become such an integral part of completing our daily needs and social networking."], "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": ["Another Great thing is the Beast graphics."], "output": "[['graphics quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So far, a great product."], "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, like me, you will be paying bills, occasionally reading the news, or just buying stuff on line, Then this is a winner."], "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": ["Heck, if I had enough ' money, I would but it as a gift for someone."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very good performer for the price."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A tip for people looking into this computer: DO NOT BUY IT save up a bit more money and buy a computer that will last."], "output": "[['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": ["I am ADDICTED to photo booth!"], "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 can't put a protector to make presentation..."], "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": ["There is somewhat of a learning curve, but the operating system, and hardware of this Mac are great."], "output": "[['laptop usability', 'neutral'], ['os general', 'positive'], ['hardware 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 liked the fact that it came with Windows 7, but also included Windows 8 to install later if I need it."], "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": ["It may take a little getting used to but you don't have to worry about viruses or other headaches."], "output": "[['laptop usability', 'neutral'], ['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 called Toshiba and they want me to be without my laptop for about two weeks while they look at 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": ["the features are great, the only thing it needs is better speakers."], "output": "[['laptop design_features', 'positive'], ['multimedia_devices 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": ["without a big ol' clunky machine in my backpack, I feel like I can do programming homework anywhere."], "output": "[['laptop design_features', 'positive'], ['laptop portability', '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": ["this one, in my opinion, 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": ["It has no way of connecting to the internet save wifi but that's all I use anyway!"], "output": "[['laptop connectivity', '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 perfectly satisfied, just have to get use to the new 6.1 system I can't see a problem."], "output": "[['laptop 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": ["This is not a serious gaming laptop or a serious media machine;"], "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": ["They are loud and clunky but I figured I'd get used to it."], "output": "[['mouse quality', 'negative'], ['mouse design_features', 'negative'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Laptop automatically shuts down when battery life reaches 30%."], "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": ["So if anyones looking to buy a computer or laptop you should stay far far away from any that have the name TOSHIBA on it..."], "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 runs very quiet too which is a plus."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would recomend this acer to parents and grandparents it can really help them in school."], "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": ["Now the screen is going darker, darker, darker."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["can't reinstall with standard os cd because of proprietary hardware drivers."], "output": "[['laptop usability', 'negative'], ['software 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": ["So i would not reccomend anyone buying 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": ["This is a great little computer for the price."], "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 discharges too quickly."], "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": ["breaks easily."], "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": ["The benefits were immediate!"], "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": ["Dealing with the support drone on the other end of the chat was sheer torture."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The operating system and user interface is very intuitive, and the large multi-touch track pad is amazing."], "output": "[['os usability', 'positive'], ['mouse 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 would not recommend the purchase of this modle of Toshiba Computer or any Toshiba product for that matter."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["little short on RAM but you get what you pay for."], "output": "[['memory 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": ["Still giving it a 5 star rating because it is fast and a nice sized screen."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['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": ["When I got this laptop in 2007 to help me with school, I had a hard time from beginning."], "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": ["Was very much worth the price i paid."], "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": ["previous laptops were pc's, still have them, but the mac osx is a clean and smooth operating system."], "output": "[['os design_features', 'positive'], ['os 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 can't say enough of how satisfied I am with their product and help aftermarket."], "output": "[['laptop general', 'positive'], ['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": ["From the build quality to the performance, everything about it has been sub-par from what I would have expected from Apple."], "output": "[['laptop quality', '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": ["Aside from the trial software and the short battery life, lack of a webcam, its great."], "output": "[['software miscellaneous', 'negative'], ['battery operation_performance', 'negative'], ['laptop design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the mouse pad and buttons are the worst i've ever seen."], "output": "[['mouse general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have updated the drivers and tweeked every feature available, but nothing has helped."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Easy setup, and delivers all the functions we need."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this eMachines Notebook PC in January of this year and I am highly\u00a0dissatisfied with 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": ["Oh my goodness-I am not a happy camper."], "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 only use a laptop for personal use, but this one can't even handle that!"], "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": ["Great laptop light and very versatile"], "output": "[['laptop general', '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": ["Just save your money and get something better."], "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 loved the netbook (minus the fact that it was windows OS) until this started happening."], "output": "[['os 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": ["Called tech support and got the usual Acer \"We don't support software but for $$$ we can help you\" I explained there was no software involved in booting."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The new Macbook Pro 15 inch i7 is nothing short of amazing."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Awesome 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": ["Though I don't have much installed, I only have 96 of the 278G left!"], "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": ["Extremely 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": ["when i first got it i thought the size of it was a joke."], "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": ["Screen is crystal clear, yes it's small - but it's a netbook!"], "output": "[['display quality', 'positive'], ['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": ["So, if you're thinking of a laptop, I would heartily recommend theApple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook for all your 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": ["Bigger HD, better graphics card, and a bid HD."], "output": "[['hard_disc design_features', '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": ["What a great little 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": ["Quite simply this is the best laptop I have ever owned."], "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 would have to say that overall its great!"], "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're not wanting to be mobile, this is a good laptop to sit on a desk."], "output": "[['laptop portability', '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 battery life is a joke and it's causing other 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": ["There is a little indent to help open it - but good luck with that."], "output": "[['laptop design_features', 'neutral'], ['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 battery will get you from LA to NY no problem."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I don't really have a complaint."], "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 case is carved out of a single block of aluminum."], "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": ["returned it to walmart."], "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": ["Guess I'll stay away from HP."], "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": ["This lap top is good so far."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It wont wow you with its speed but who can complain at $249."], "output": "[['laptop operation_performance', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't try to use to play any pc games or anything."], "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 was so happy with my new Mac."], "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 can use it for all of 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": ["The retina screen is absolutely beautiful and the touchpad is the best touchpad to date."], "output": "[['display general', 'positive'], ['mouse 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": ["Keys stick periodically and I havent had the laptop for 45 days yet."], "output": "[['keyboard operation_performance', 'negative'], ['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 can guarantee this will be the last Dell I will ever purchase!"], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Thank you for your great product!"], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've had it for a minth and so far it's shut down completely 3 times."], "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": ["Love the stability of the Mac software and operating system."], "output": "[['software operation_performance', 'positive'], ['os 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": ["My friends or children use that when they need to borrow the Net =) When I out grow this Meaning when its old and my oldest child is ready for one she will get this one ANd I will be buying only TOSHIBA!"], "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": ["It also came with a built it web cam which is great because I can see an communicate with my family members back home."], "output": "[['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": ["They sent me a replacement part and without informing me are requiring that I return it within 15 days or contact them and let them know the broken part will be returned later."], "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 HAS BEEN NOTHING BUT A HEADACHE SINCE WE PURCHASED 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": ["Dell sucks"], "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": ["Battery life is above average, and it charges quickly."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It has a 10 hour battery life when you're doing web browsing and word editing, making it perfect for the classroom or office, and in terms of gaming and movie playing it'll have a battery life of just over 5 hours."], "output": "[['battery 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 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": ["WOULD PAY MORE FOR IT IF I HAD TOO!"], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love this product because it is Toshiba and its 15.6\"."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Toshiba Satellite has been more than I expected for the price."], "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": ["Although I've had it for less than a week, I am very satisfied."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But let me tell you, the mac book pro is so professional."], "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": ["Can run CS:GO at 60 fps on low settings."], "output": "[['display 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": ["Came fully loaded - good."], "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 laptop is very responsice with the Core i7 processor and 8GB of RAM and the sound out of the Beats audio is great."], "output": "[['laptop operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive'], ['software 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 am taking back today."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But that's not a deal-breaker."], "output": "[['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Aspire wont even boot past the Acer screen with a Droid (I have tried both Motorola and HTC) plugged into the USB port."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would easly reccomend this laptop to a friend."], "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 buttons are hard to push."], "output": "[['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": ["Purchased a Toshiba Lap top it worked good until just after the warrenty went out."], "output": "[['laptop quality', '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": ["just wifi...."], "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": ["It wouldn't fit in most 17-inch bags."], "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": ["I bought a protector for my key pad and it works great :)"], "output": "[['keyboard 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": ["More than enough for my use."], "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": ["Please people dont make the same mistake i did."], "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 bought it simply for Excel on Windows for work since I have a Macbook Air and literally the thing freezes and lags opening Excel or my web browser."], "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": ["No I am generous calling it slow."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The keyboard is a little wonky with having to use the Function button to get the F-keys but with how infrequently i use those it is a non-issue."], "output": "[['keyboard design_features', 'negative'], ['keyboard 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": ["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 design_features', 'positive'], ['laptop usability', '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": ["And processor feels pressured even though I run medium scale programs, watching the way exhaust speed increases."], "output": "[['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I initially purchased my Macbook Pro 13\" in April, and I loved 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": ["First, it does not have a push button to open the lid."], "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": ["just what we needed for our daughter to do her on line math class"], "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": ["This 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'd much rather bite the bullet and spend a little more for a product that actually meets minimum computing expectations for 2014."], "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 just got this laptop for college, and so far I am very happy with 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": ["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": "[['os 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 computer itself was fast, ran smoothly, and had no problems."], "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": ["I bought a HP Pavilion DV4-1222nr laptop and have had so many problems with the 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": ["NOW AM VERY APREHENSIVE ABOUT TOSHIBA LAPTOPS."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought it for really cheap also and it's AMAZING."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Supper east to use."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Good product for a good price."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would like at least a 4 hr. battery life."], "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": ["Windows 7 rocks."], "output": "[['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": ["Went silently."], "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": ["And it is impossible to get them back in."], "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 should have spent an extra hundred bucks and got a full sized 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": ["It is truly a Desktop Replacement."], "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": ["Never been hacked."], "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": ["STOPPED BOOTING UP less than a week after my one-year warranty was up."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I find myself using the 10-key more than I thought I would."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["ANd I babyed the heck out of it just one day when i opened it turned it on went to click and it was broke."], "output": "[['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": ["Had to return the 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": ["Fast."], "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": ["The salesman talked us into this computer away from another we were looking at and we have had nothing but problems with software problems and just not happy with it."], "output": "[['software 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": ["The built-in webcam is great for Skype and similar video-chat services."], "output": "[['multimedia_devices 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 super shiny, so you can see the fingerprints easily."], "output": "[['laptop 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 VERY LIGHT AND THE PICTURE IS NICE  AND THE PRICE WAS AMAZING."], "output": "[['laptop design_features', 'positive'], ['display 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": ["All-in-all, I would definitely recommend this product for nearly everyone."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am returning 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": ["Yes, I thought the expese was a little much, but I now realize you get what you pay for."], "output": "[['laptop price', '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": ["Took the netbook on a vacation trip and I was able to do whatever I wanted to do without lugging a much heavier laptop."], "output": "[['laptop portability', '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": ["It has a lot of memory and a great battery life."], "output": "[['memory design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only pro to this computer is it was under $600!"], "output": "[['laptop general', 'negative'], ['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": ["The laptop is fast."], "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": ["It is absolutely horrible to use, despite all its so called advanced features."], "output": "[['laptop usability', 'negative'], ['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": ["My next laptop will also be a Mac!"], "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": ["This computer that I have has had issues with the keyboard where it lost half the keyboard functions."], "output": "[['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been very pleased with the performance of this laptop."], "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": ["So glad I decided to upgrade!"], "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": ["HP didn't fix 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 cant believe HP put this out."], "output": "[['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": ["Plain and simple, it(laptop) runs great and loads fast."], "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": ["Still getting use to Window 8."], "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": ["I am very happy with 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": ["Good price."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Meets my needs perfectly and is light enough for this senior to carry without affecting my arthritis."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If your time is worth anything to you, if you are tired of rebooting, reformatting, reinstalling, trying to find drivers, if you want a computer to work for you for a change, make the change to this computer."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Like the price and operation."], "output": "[['laptop price', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love its solid build, light wt and excellent battery life (for now)."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Im very happy with 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": ["A MONTH LATER, we reinstall the OS (Vista)."], "output": "[['os quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The laptop is gorgeous."], "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": ["Plus it is small and reasonably light so I can take it with me to and from work."], "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": ["I thought learning the Mac OS would be hard, but it is easily picked up if you are familiar with a PC."], "output": "[['os 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 a great product for a great price!"], "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": ["Highly 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": ["I would buy one of these for every person in my office if I could."], "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": ["was not aware it did not have a disk drive when i bought it or i would not of purchased it."], "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 easy to navigate and update 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": ["The 13\" Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product."], "output": "[['laptop price', 'positive'], ['shipping price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Love the speed, especially!"], "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": ["Weaknesses:A bad videocard!"], "output": "[['graphics 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": ["Size is perfect and display is beautiful!"], "output": "[['laptop design_features', 'positive'], ['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": ["This is an ok computer."], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Excellent product for the money."], "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": ["The processor screams, and because of the unique way that Apple OSX 16 functions, most of the graphics are routed through the hardware rather than the software."], "output": "[['cpu operation_performance', 'positive'], ['os operation_performance', 'positive'], ['graphics 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 has far exceeded my expectations for power, storage, and abilitiy."], "output": "[['laptop operation_performance', 'positive'], ['hard_disc 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 black model also has a very nice seamless appearance - one of the better looking notebooks I've seen."], "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 touchpad hasn't worked correctly since delivery though in the beginning, I thought perhaps it was just a bit of a quirk since most touchpads I've worked with have some inherent oddities."], "output": "[['mouse operation_performance', '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": ["They told me to reprogram the computer, and I didn't need  to do that, and I lost pictures of my oldests first 2 years of her  life."], "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": ["After doing much research for a laptop that had all the features I was looking for, This one hit all the criteria I had."], "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 thought we were paying for quality in our decision to buy an Apple product."], "output": "[['company 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": ["Terrific 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 waited and waited and no laptop."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Works at a decent speed."], "output": "[['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Works good and is fast enough for me."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would recommend this computer to anyone searching for the perfect laptop, and the battery life is amazing."], "output": "[['laptop 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": ["Runs smooth and quick."], "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": ["Dell claims they test each key with thousands of mechanical key strokes."], "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 home page/startup is easy to navigate which is the one thing I was mainly concerned about."], "output": "[['os 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 design is awesome, quality is unprecedented."], "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": ["I have found also, it is very easy to be able to access wireless internet access; without having to have extra equipment and/or complicated routes to take to be able to do so."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is what I was looking for."], "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 computer will last you at least 7 years, thats an amazing life spanned an electronic."], "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": ["Graphics are clean and sharp, internet interfaces are seamless."], "output": "[['graphics quality', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["An absolutely hateful machine that no one should get of their own free will."], "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": ["Pairing it with an iPhone is a pure pleasure - talk about painless syncing - used to take me forever - now it's a snap."], "output": "[['laptop connectivity', '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 wheel that turns the volume up and down doesn't work in real time."], "output": "[['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": ["the screen/video resolution won't increase to a higher resolution then 1024 x 60"], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have had the luxury (sarcasm) of owning 2 of these laptops."], "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 has got me feel like to take years to successfully open a web page."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The video card is great for media, and above average for gaming, but not a gamers first choice."], "output": "[['graphics miscellaneous', 'positive'], ['graphics 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": ["Great PC, light and powerful."], "output": "[['laptop general', 'positive'], ['laptop 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": ["It works fine with our wireless and they've had not problems."], "output": "[['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": ["Being only 2 months old, I am not a happy camper!"], "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": ["Laptop is advertised as a 15\" but the casing looks like that of a 17\"."], "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 people are frustrating to work with, the product itself is very cheaply made, and the accessories are less than satisfactory."], "output": "[['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I thought it would have a CD-rom drive, but there isnt one."], "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": ["Tried to make a recovey disk wouldnt get passed the first recovery disk."], "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 difference is the Toshiba had a lot more memory and hard drive space."], "output": "[['memory design_features', 'positive'], ['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["In due course, I'll remove the hard disc from this new MacBook Pro and dump it where it belongs - in the trash."], "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": ["Initially I liked the product so much."], "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 Computer itself is a good product but the repair depot stinks."], "output": "[['laptop general', 'positive'], ['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 had my IWORKS, Itunes, Email, MS Office, network and printers set up and completely working perfectly within an hour."], "output": "[['laptop usability', 'positive'], ['laptop connectivity', '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 one thing I wish it had was a detailed hardcopy manuel."], "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 like the number pad for work so that's nice"], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["In addition, no matter what I do to change the settings, add/delete Flash, etc., Firefox hangs on start-up."], "output": "[['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": ["10 hours of battery life is really something else...."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've been impressed with the battery life and the performance for such a small amount of memory."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['memory 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": ["Easy learning curve."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the key bindings take a little getting used to, but have loved the Macbook Pro."], "output": "[['keyboard usability', '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": ["lots of preloaded software."], "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": ["It does everything I need."], "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 keyboard is top notch."], "output": "[['keyboard 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": ["Amazing 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": ["We like this new laptop -- a lot!"], "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 bought this for my daughter to use for school and homework, it's not a \"fast\" computer, but it's great for what she needs it for and very light weight!"], "output": "[['laptop operation_performance', 'neutral'], ['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": ["Overall, this is a wonderful computer and definitly worth the 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": ["I am experiencing the system little slower than what I have expected."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The macbook rarely requires a hard reboot."], "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": ["But if you can't make your product last more than a year, you will not get my business again."], "output": "[['company 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": ["Overall this laptop is great."], "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 will never complain about the price since I believe you get what you pay for and my MacBook Pro was worth every dollar."], "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": ["The acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it, but I like the big screen on it."], "output": "[['display design_features', 'positive'], ['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It was very easy to just pick up and use--"], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great price."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Con: Hate that it has no disk drive."], "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 cant fuction well with lots of webpages open at once."], "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": ["a bit ugly,but works good"], "output": "[['laptop design_features', 'negative'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Slow"], "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": ["five starts"], "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 laptop broke within the first hour of use."], "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": ["Waited on getting this computer, but it has been a great change."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I upgraded it's RAM to 2GB, I am very happy with it."], "output": "[['laptop general', 'positive'], ['memory 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 returning mine"], "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 should have bought something better."], "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's definitely not worth the money."], "output": "[['laptop general', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I wonder if thats just Apples way of saying its time to get the newest and greatest laptop 3-4 years from now lol."], "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": ["I bought it from HSN because it was \"bundled\" with extra software, but as it turns out, that software just crashes it more often....."], "output": "[['software general', 'negative'], ['laptop design_features', 'neutral'], ['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": ["It is sleek, smooth, and lightweight."], "output": "[['laptop 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": ["It does make a little noise but that's alright as it's not too much."], "output": "[['laptop 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": ["They have developed excellent proprietary software for editing video and pictures and I'm looking forward to utilizing these tools on the regular."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I got the black MacBook two years ago and have never regretted it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought this laptop because of the performance to price ratio."], "output": "[['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": ["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."], "output": "[['shipping quality', 'positive'], ['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 quiet runs smoothly."], "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": ["I'm really impressed with the quality and performance for the price of the computer."], "output": "[['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They don't crash."], "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": ["NO junkware!!"], "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": ["A key contributor that led me to Mac is the art aspect."], "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": ["Computer runs very slow!"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Its fast, powerful, screen display is top notch and the battery life is excellent for a laptop of this size."], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['battery operation_performance', '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": ["But here's something I hadn't realized before buying it: there isn't an optical drive, which means NO CDs or DVDs!"], "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": ["My laptop cost approximately $2,300 and DIED after only 2-years, 10-months and 18-days of use."], "output": "[['laptop quality', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only reason I didn't give it a 5 star is, I feel I have to reach so far to type on the key board."], "output": "[['laptop general', 'positive'], ['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": ["Nice 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": ["If you have any creativity in you do yourself a favor and get a mac!"], "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": ["But after using it a couple of weeks, the overall operation is poor."], "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": ["i'm very happy,this laptop is beatifull, is'nt slow at all."], "output": "[['laptop general', 'positive'], ['laptop 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": ["after trying to get some help he disconnected on me."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A mac is very easy to use and it simply makes sense."], "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": ["It did not take long to get used to the Mac OS."], "output": "[['os 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": ["Built in mike is really poor and unusable for Skype or any other purpose."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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": ["Finally after months of research the discovered that they mailed it to a Walmart and there probably would be no way to find the box."], "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": ["Excellent performance, especially given its price point."], "output": "[['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": ["YOU WILL NOT BE ABLE TO TALK TO AN AMERICAN WARRANTY SERVICE IS OUT OF COUNTRY."], "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 computer is absolutely AMAZING!!!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm a life-long desktop computer user, and the keyboard on this laptop is as close to a \"normal\" keyboard as I've ever seen."], "output": "[['keyboard general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly."], "output": "[['os operation_performance', 'positive'], ['os 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 would have a full charge yet would turn itself off for no explainable reason after being on for 5 minutes."], "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": ["Small and light weight."], "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 cool thing about this is anyone can use 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": ["But I am glad to have gotten mine right before they stopped making it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I made a perfect decision when I bought the Toshiba!"], "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": ["I will never purchase a HP again ever."], "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": ["Good keyboard, long battery life, largest hard drive and windows 7."], "output": "[['keyboard general', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc 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": ["The price was very good, and the product is top quality."], "output": "[['laptop price', '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 returned the 2nd laptop for a full refund."], "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 dislike the quality and the placement of the speakers."], "output": "[['multimedia_devices quality', '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": ["The image is great, and the soud is excelent."], "output": "[['display quality', '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": ["I wish the volume could be louder and the mouse didnt break after only a month."], "output": "[['multimedia_devices 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": ["With a mac you don't have to worry about antivirus software or firewall, it's so wonderful."], "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": ["Do not\u00a0 buy 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": ["Of course, I also have several great software packages that came for free including iWork, GarageBand, and iMovie."], "output": "[['software 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 Macbook arrived in a nice twin packing and sealed in the box, all the functions works great."], "output": "[['laptop miscellaneous', '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 also enjoy the fact that my MacBook Pro laptop allows me to run Windows 7 on it by using the VMWare program."], "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": ["Probably not a gaming machine, which I have zero interest in."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm very happy with my Acer, it does just for what I need it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have only had PCs with Windows before so this takes a little getting use to."], "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": ["Maybe not the cutting edge (Satellite L455D) but it is a workhorse."], "output": "[['laptop design_features', '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": ["They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die."], "output": "[['battery operation_performance', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Everything was so easy."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Registration/1st use is easy."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I got it for Christmas, and I was so excited to set it up!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It has everything I wanted-- built in Wi-Fi connectibility, a slot for my SD camera memory card, a DVD burner, big beautiful screen, plenty of USB ports (three 3.0 and one 2.0), and a keyboard with a nice touch."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop connectivity', 'positive'], ['display design_features', 'positive'], ['keyboard 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 happy with My purchase of a Toshiba Satellite L305D-S5934 laptop until it came time to have it repaired under the Toshiba Warranty."], "output": "[['laptop general', 'positive'], ['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 upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home, and it runs just fine."], "output": "[['laptop 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": ["I can't even install one of the 3 printers I have in my house so I am unable to print."], "output": "[['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": ["Great laptop that offers many great features!"], "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": ["Very long-life battery (up to 10-11 hours depending on how you configure power level settings)."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I use a wireless mouse, but the touch pad and the \"red button\" in the middle that works like a little \"joystick\" also work fine."], "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": ["During that time, I had to send it back 3 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": ["Will probably never buy a HP again."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly."], "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": ["It has all the features that are necessary for college and if not they are able to be added onto the computer."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Do not buy a mac until this issue is resolved."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I look forward to years of use, it has held up well over the years and it fits my needs very well."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is light and the battery last a very long time."], "output": "[['laptop design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I agree with the previous comment that ASUS TECH SUPPORT IS HORRIBLE WHICH IS A CON IN MY OPINION."], "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": ["While I mostly use it for email, internet and gaming, I'm confident all other applications live up to the high standard I've come to appreciate from Mac laptops."], "output": "[['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 laptop is very lightweight, can easily carry around in a knapsack full of text books and it barely adds any weight."], "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": ["The touch screen response is fast and it picks up bluetooth and wifi FAST."], "output": "[['display operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["For everyday use, you can't really go wrong with this laptop."], "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 paid about 18000 for this laptop because of all the bells and whistles and it kept crapping out on me."], "output": "[['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Price is great, wish it didn't have Windows 8, but that is an opinion."], "output": "[['laptop price', '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": ["And I'm still paying the bloody financing, for a product which didn't last me at least three years !"], "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": ["Once open, the leading edge is razor sharp."], "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": ["I can't say enough good for 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": ["We are addicted to the Mac."], "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": ["One of the best thing i have bought in years."], "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 downside to this netbook is pretty much the same for any netbook: screen size is not something I'd stare at for the entire 10-11 hours of battery life five days a week."], "output": "[['display design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have no idea what's taking up all the room, it doesn't make sense."], "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": ["Good bye BLUE SCREEN and Critical errors!!!!"], "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": ["Speed is great, easy to set up and get going."], "output": "[['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": ["He gave me this PC about 3 years ago and up to this point im still sitting here using it."], "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": ["A good value on a quality product."], "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": ["However, this laptop far exceeded my expectations when I bought it for college, I only use Malwarebytes and Microsoft Security Essentials, run a virus scan maybe once a week and it has ran smoother than butter for the past two years."], "output": "[['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It does everything I need it too!"], "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 jumps around all the time and it clicks stuff i dont want it too."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Love the 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 had a USB connect but, i can't use it because it is not compatible."], "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": ["GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING!!!"], "output": "[['laptop portability', 'positive'], ['cpu 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 had this computer for one month and had to send it in for repair."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["iTunes is a handy music-management program, and it is essential for anyone with an iPod."], "output": "[['software usability', 'positive'], ['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Keyboard is great, very quiet for all the typing that I do."], "output": "[['keyboard general', 'positive'], ['keyboard quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["my information was all lost (my fault, I know, but I never thought I would need to back up my information on a brand new Mac, the paragon of all computers!"], "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": ["Shiny"], "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": ["LOVE THIS LAPTOP WONDERFUL PRICE FOR WHAT YOU GET!"], "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": ["The ease of set up was terrific."], "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": ["It is so much easier to use"], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm making the switch and finding that my biggest problem is trying to do things the 'old' way - and Apple does, indeed, have the better idea."], "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": ["I was unable to download iTunes to it."], "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": ["W7 Pro with W8 pro upgrade is nice, but it frequently freezes for a few seconds here and there."], "output": "[['os general', 'positive'], ['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It hangs, freezes and just isn't working properly."], "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": ["Great, quick laptop for the money."], "output": "[['laptop general', 'positive'], ['laptop price', '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": ["Still, this laptop is perfect for all day use at school and work."], "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": ["After they found no other way, they told me to courier it to them(since they don't allow the use of the post office) at my expense, and sent me a 4 page list of very specific packaging instructions to follow or it wouldn't be covered."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The HP Envy 15 has been everything I expected."], "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'm already hooked on the sleek look and dependability that this laptop has shown."], "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": ["Does what I need it to do and the price was right!"], "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": ["The Toshiba Mini Notebook, Model NB 305-N410BL, is a great little computer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The processor went on me, the fan went and the motherboard went."], "output": "[['cpu quality', 'negative'], ['fans_cooling quality', 'negative'], ['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": ["It has easy to use features and all the speed and power I could ask for."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["this is starting off good."], "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 Hate 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": ["the laptop was really good and it goes really fast just the way i thought it would of run."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have loved this since i took it out of the box."], "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 not bad just VERY VERY annoying."], "output": "[['mouse 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 always reliable, never bugged and responds well."], "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": ["Sound card is limited though."], "output": "[['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": ["The only thing that I don't like about my mac is that sometimes there are programs that I want to be able to run and I am not able to."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Another thing is that after only a month the left mouse key broke and it costed $175 to send it in to fix it."], "output": "[['mouse 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": ["The OS takes some getting used to especially after being a Windows user for so long but the learning curve is so worth it!"], "output": "[['os 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 just amazed."], "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 doesn't get heated up much even after continuous usage."], "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": ["Enabling the battery timer is useless."], "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": ["Love everything about 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": ["The sound is a bit quiet if you're on a plane, this can easily be overcome with a decent pair of head phones."], "output": "[['multimedia_devices quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is a big disappointment."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm very impressed."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["All in all great item highly recommend 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": ["it was easy to set up."], "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 able to organize my pics, music and files easily."], "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": ["There is a chance mine is defective but regardless I'm not going to try another one this is a terrible product."], "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": ["With in weeks of purchasing my computer is began to slow down."], "output": "[['laptop quality', '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": ["It's truly a great laptop for the price."], "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": ["This computer doesn't do that well with certain games it can't play some and it becomes too hot while playing games."], "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 am enjoying it and the quality it provides is great!"], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't waste your money or time."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm glad I made the choice to switch and buy this MAC."], "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": ["lightweight, long battery life, excellent transition from PC;"], "output": "[['laptop design_features', 'positive'], ['battery 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": ["The i7 is incredibly fast, the RAM makes it proper for several games (not on maximum quality)."], "output": "[['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It freezes, and it always shows that there is an error, so I have to restart it a few times every time I use it."], "output": "[['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": ["Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar- cannot be beat."], "output": "[['laptop usability', 'positive'], ['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": ["the hinge design forced you to place various connections all around the computer, left right and front."], "output": "[['laptop design_features', '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": ["The newer MacBook that I have purchased is one of the best computers."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But if you buy this i would highly recommend that you buy a case and screen protector for this machine as they are known to be quite fragile."], "output": "[['laptop quality', 'negative'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Cords coming out the right for power plus cords coming out front for headphones/mic plus network connection on left make for a very messy setup with cords going every direction."], "output": "[['laptop design_features', '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 laptop is almost 2yrs old and I have never had any problems with 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": ["This is a complete waste of money, dont let the price fool you!"], "output": "[['laptop general', 'negative'], ['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": ["Toshiba customer services will indirectly deal with your problems by constantly tranferring you from one country to another, and I am not kidding you, I called different hours of the day and you'll get someone else from another country trying to get you to tell them your life story all over again, since they make it sound like they don't have your history list of your calls right in front of them."], "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 waited another month for approval and for them to \"BUILD\" me a new laptop."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["so in a brief summary i would have to say that i would not recommend dell vostro 1000 to anyone due to it being a down right awful setup so in my opinion you should steer clear of them if you want a decent laptop."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If a website ever freezes (which is rare), its really easy to force quit."], "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": ["In all my life i have never come across a computer as slow as this one, it cant perform basic operations and is practically useless."], "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 have not have any problems."], "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 BOUGHT THIS LAP TOP AND THE CHARGE TIME DOSEN'T LAST AS LONG AS THEY SAY IT WILL MORE LIKE 2 HOURS"], "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 do transcription work on the side, and the flatline keyboard makes typing quick and easy as well."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The computer is so slow, even after paying staples the extra money to speed it up."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The start menu is not the easiest thing to navigate due to the stacking."], "output": "[['os 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 screen shows great colors."], "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": ["Great pick for portability and affordability."], "output": "[['laptop portability', '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": ["Don't expect it to take good pictures or video."], "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 tell everyone I see out looking to get this or another Toshiba."], "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": ["The computer runs very fast with no problems and the iLife software that comes with it (iPhoto, iMovie, iWeb, iTunes, GarageBand) is all very helpful as well."], "output": "[['software general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A great computer for light home use and business use."], "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 stuck with a laptop that I cannot do very much with."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The webcam is nothing special, its there if you need it."], "output": "[['multimedia_devices 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": ["Fast enough for my purposes."], "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": ["the computer is very wonderful."], "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": ["Overall, a high quality laptop and a great value considering all this computer has to offer."], "output": "[['laptop quality', 'positive'], ['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The price was good."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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 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": ["I will give advise any prospective buyers this is not great laptop, Its good for web browsing and word processing"], "output": "[['laptop general', '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": ["DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND THE WARRANTY COMPANY IS HORRIBLE."], "output": "[['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": ["It's even easy to hook up to other wireless networks."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Don't waste your money!"], "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": ["Would be a very nice laptop if the mousepad worked properly."], "output": "[['laptop general', 'positive'], ['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But, if you are just an average user, it works really great."], "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": ["Bootup time is amazing, battery life is decent and it has a great slim form factor."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'neutral'], ['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 would definitely recommend checking out this laptop if you are in the market for one."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["That includes transferring my music and movies."], "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": ["it's just a great toy to have around."], "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": ["lots of extra space but the keyboard is ridiculously small."], "output": "[['keyboard design_features', 'negative'], ['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 like to use it at the race track to handiecap the horse races."], "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": ["Works beautifully."], "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 tell everyone that I know, friends, family and enemies this is the absolute worst computer i have ever used."], "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": ["And, if you are going to deal with HP be careful."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I should have waited to find a higher quality 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": ["Probably as good as you can get in a netbook, does everything I ask for and has some very good unexpected pluses."], "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": ["The computer is currently in West Verginia doe to the method of shipping choosen by Toshiba."], "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": ["Also very quick laptop!"], "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": ["The only objection I have is that after you buy it the windows 7 system is a starter and charges for the upgrade."], "output": "[['os 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 loaded windows 7 via Bootcamp and it works flawlessly!"], "output": "[['os 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": ["CAN EVEN READMY KINDLE ON THIS COMPUTER"], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It was over rated!"], "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": ["Its also FUN to use!"], "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 would rate this computer at 5 stars, but considering it has a short life span I can only give it 1 and implore anyone looking at laptops to stay away from this machine."], "output": "[['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": ["Used to love HP products, but this has soured me on the whole company."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Been using Lenovo ThinkPad Edge laptops in our business for several years now and have no complaints about any of them."], "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": ["They were totally unconcerned that the computer was not correctly repaired in the first place."], "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 me, five stars is not enough."], "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 big deal with this was Windows 7."], "output": "[['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": ["Once I removed all the software the laptop loads in 15-20 seconds."], "output": "[['software general', 'negative'], ['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you are a gamer or need it for heavy computer use, get something else."], "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": ["There are so many wonderful features and benefits to the new MacBook!"], "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": ["This was purchased for my daughter and I was pleasantly surprised."], "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": ["In addition, there is photo detection software that will allow you to group all the photos together based upon the people in the picture."], "output": "[['software 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 though, for the money spent it's a great deal."], "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": ["Toshiba is a great brand, even though I haven't had it for a long time, I am very happy with it!"], "output": "[['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": ["Was not happy with one of the programs on it."], "output": "[['software 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 sound is very nice and crisp."], "output": "[['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": ["I have used PC's and converting to this MacBook Pro was easy."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Nice and light, seems to help your work instead of becoming work itself."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Oh and if thats not bad enough it doesn't come with a recovery cd so you can make one if you know how to or buy one if you buy it the cost is $25 for two cds."], "output": "[['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": ["Otherwise, all other features are a 1"], "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": ["Purchased it for my birthday and 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": ["Summary: Spend your money elsewhere"], "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 the Apple products."], "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": ["This clunker however stopped working after only two weeks of having it delivered."], "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": ["No hardware issues, as is common with any Apple product."], "output": "[['hardware general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["In short I would never buy a Compaq again."], "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": ["When I finally had everything running with all my software installed I plugged in my droid to recharge and the system crashed."], "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": ["I spent alot of money on this product and its been a nightmare."], "output": "[['laptop price', '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": ["It gives me everything I need from a computer and with the long lasting battery, it also gives me mobility."], "output": "[['laptop general', 'positive'], ['battery operation_performance', '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 let my friend borrow it, and she knows nothing about computers, and she used it with ease."], "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": ["Steve Jobs, probably needs help and donations, and cannot afford a reasonable offers for people that truly are trying to support his baby."], "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": ["Can listen to my music and watch my videos with ease and with a great display."], "output": "[['display 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": ["It's not what you pay for."], "output": "[['laptop general', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am very happy I bought this Mac, well worth the extra money."], "output": "[['laptop price', '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": ["It has a decent feel to it, sharp display and is fast enough."], "output": "[['laptop quality', 'neutral'], ['display 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": ["Great product."], "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 improvements to the OS have been relatively gradual, but substantive."], "output": "[['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": ["Very dissappointed becase I have had toshibas for years, and never a issue."], "output": "[['laptop general', 'negative'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I like this machine because its very lightweight..."], "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 can't use the Trackpad very well, it's too sensitive, so I hooked up a mouse."], "output": "[['mouse usability', 'negative'], ['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Long story short, since I experience so many problems with my laptop every since I bought it from day one, I didn't ask for a new laptop or a refund of what I pay for a crapy laptop, but just an extension of my laptop warranty for another year, they made a big deal of out that and after so many calls and complaints about their products and services, they finally gave in."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only problem is a lack of screen resolutions!"], "output": "[['display quality', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It has worked fine."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I was not aware that this product cannot display websites that contain Flash."], "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": ["It has a wide screen and it's easy to use."], "output": "[['display 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": ["It gets stuck all of the time you use it, and you have to keep tapping on it to get it to work."], "output": "[['keyboard operation_performance', 'negative'], ['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": ["That being said, it still runs video in full screen decently."], "output": "[['display operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's super fast and a great value for the price!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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": ["2nd Best computer in the world  only one way this computer might become the best is that it needs to upgreade patches  to make less easier for people to hack into"], "output": "[['laptop general', 'positive'], ['laptop quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I will NEVER buy (Refurbished) again, I don't cae how cheap it is."], "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": ["It had a cooling system malfunction after 10 minutes of general use, and would not move past this error."], "output": "[['fans_cooling quality', 'negative'], ['fans_cooling operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The battery life is good, even with using high profile software like Sibelius 7 for a good half of the day."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Got the computer back a month later and it was still broken sent it out again and they repaired 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 wish it had a webcam though, then it would be perfect!"], "output": "[['laptop design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Awesome graphics!"], "output": "[['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": ["Still under warrenty so called Toshiba, no help at all."], "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 purchase opened me to the world of Macbooks, and I am impressed with the intuition of the design, the beauty of the product, and the excellent technological advances associated with it."], "output": "[['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 satisfied with the product."], "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": ["This machine delivers."], "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": ["It's a good starter computer that is extremely light on the wallet."], "output": "[['laptop miscellaneous', '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": ["Needless to say a PC that can't support a cell phone is less than useless!"], "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": ["Page just disapeared after you got yahoo or downloaded something."], "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": ["Currently if I use the laptop I can't sit it on my lap because it will burn my legs."], "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 took off a star because the machine has a lot of junk software on it."], "output": "[['laptop design_features', 'negative'], ['software 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 statement of 7 hour battery life is not just mere exaggeration -- it's a lie."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is good for 10 days then it sucks for the rest of your life."], "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": ["Apple is always great about the aesthetics of things, they always come up with good looking products."], "output": "[['laptop design_features', '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": ["Also, I have had alot of trouble with the shift key to go to other lines."], "output": "[['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This mac is great!"], "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 don't do any high tech stuff on it, just write papers, check mail, and sometimes play games, so I can't reccomend it if you are in the computer field."], "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 easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops."], "output": "[['laptop usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great labtop.."], "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 computer was awful, I would never recomend it to another person."], "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 spent 2200 dollars on a \"top of the line laptop\"."], "output": "[['laptop price', '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": ["This is my first Dell I heard their customer service was lacking and that they were working on improving it!"], "output": "[['support 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": ["power supply went bad after 2 weeks --"], "output": "[['power_supply 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": ["plus this computer comes with a full size keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very happy."], "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 occassionaly use it for work via VPN and it has not given me any problems."], "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": ["Games being the main issue."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I consider myself an average user and this computer serves my need."], "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 would highly recommend this product to anyone looking for a top performing laptop."], "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": ["And Toshiba is a quality supplier."], "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": ["It is very durable, I am pretty rough when it comes to electronics and it has taken it all with no reprecutions yet."], "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": ["Windows Vista makes this computer almost unusable for online service."], "output": "[['os general', '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": ["I'm tired of the inept service."], "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": ["Would not buy it again."], "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": ["1st time they got it working the next 5 month they had me send it in."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The machine is easy to use, has the power it needs for personal use and some light professional work."], "output": "[['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": ["It's fast, it's easy easy easy to set up, easy to hook to my wireless network."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I can use it anywhere."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I use iphoto all the time, which is a great program for anyone who is into photography - amateurs and experts alike."], "output": "[['software general', 'positive'], ['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Says it is failing 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": ["Mine came at $1,700 w/o a DVD burner (!)."], "output": "[['laptop design_features', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Keyboard could use some trimming."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["not durable ."], "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": ["They are wonderful, but very dangerous when it comes to emitting heat."], "output": "[['laptop general', 'positive'], ['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": ["Memory is upgradable."], "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": ["It also gave me an introduction to Windows 8, which I hope will be discontinued it the future."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Other installed features, such as certain printer software, are also most attractive."], "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": ["It is slow and complicated and very disappointing"], "output": "[['laptop operation_performance', 'negative'], ['laptop usability', '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 to mention it has shit gigs."], "output": "[['hard_disc 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": ["very very slow laptop."], "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": ["And the only microphone input is for a combo Mike/Speaker plug."], "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": ["Doesn't have touch screen but I have a tablet so that wasn't so important."], "output": "[['display design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It took Toshiba tech support 4 calls and 4 different techs to correct 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": ["Small enough to use on a long flight, Light enough to carry through airports and powerful enough to replace my desktop while on long business trips."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is by far one of the greatest investments I have ever made."], "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 can't even turn it off."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The PC is works well with a good battery and a power cable, and has a web cam."], "output": "[['laptop operation_performance', 'positive'], ['battery 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": ["3 weeks went by and the computer keeps crashing and will not open any applications."], "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 bought my macbook a few months ago and it has been my baby ever since."], "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": ["For $250, which is as much as my graphics card alone cost, this laptop is an incredible value."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Amazing computer,  perfect for school."], "output": "[['laptop 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 online tutorial videos make it super easy to learn if you have always used a PC."], "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 laptop is a great price and has a sleek look."], "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": ["i love to use it it is esay and light."], "output": "[['laptop general', 'positive'], ['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": ["It does what it advertises."], "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 is easy to use, has great screen quality, and every so light weight."], "output": "[['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": ["The repairs were made quickly though I must say, however the second time they shipped it to the incorrect address and it took nearly a week for them to get it to me."], "output": "[['support quality', 'positive'], ['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": ["Remember to do your research first before consider buying a toshiba product."], "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 board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues."], "output": "[['motherboard quality', 'negative'], ['power_supply 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": ["Tiny, forgivable drawback - no ethernet cable outlet."], "output": "[['laptop design_features', 'neutral'], ['laptop connectivity', '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 has plenty of memory, lots of hard drive, and great graphics."], "output": "[['memory design_features', 'positive'], ['hard_disc design_features', '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": ["my niece and nephew have played a few web games and it runs anything that doesn't require a dedicated video card."], "output": "[['laptop miscellaneous', 'neutral'], ['graphics 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 would love to keep this laptop, but will be sending it back and looking for a different brand."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great battery, speed, display."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['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": ["The resolution is gorgeous, the computer is light, it does everything I need and the interface is pretty intuitive."], "output": "[['display quality', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive'], ['os 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": ["Excellent buy."], "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": ["Iphoto is great for adding pictures right to facebook and other social networking sites."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Right size and weight for portability."], "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": ["My first problem was with the pre-loaded Norton Firewall/Security program."], "output": "[['software general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["but it doesn't have a cd unit, anyway the other thing is that the laptop does not have an ethernet port for cable connecting."], "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": ["If you are a PC user looking to convert I would HIGHLY recommend 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": ["There are several programs for school or office use (Pages, Numbers, Keynote, etc.), music (Garageband), photo management (Photo Booth, iPhoto), video-editing or movie-making (iMovie), etc."], "output": "[['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": ["Ok, this is probably the best laptop series ever devised by Apple."], "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": ["They say sorry out of 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": ["Does all that was advertised."], "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 your on a budget.... Save up longer."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["in 5 months the connect quality got worse and worse."], "output": "[['laptop connectivity', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I can easily get 10 hours out of a full charge."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They loved 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 i3 processor doesn't seem to run hot and the fan rarely turns on."], "output": "[['cpu 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 has a great resolution but have difficulty always seeing the small print."], "output": "[['display quality', 'positive'], ['display usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Peformance is good for the price."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i defenitly recommend it for anyone for office and home work"], "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": ["External monitor worked easily."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["do not use the facial recognition"], "output": "[['software 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": ["Sturdy but only for typical wear and tear."], "output": "[['laptop 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": ["Not blazing fast, but quick enough."], "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 get giddy every time I use this thing."], "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 is not even a year old yet, so I would\u00a0definitely not recommend it to anyone."], "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": ["Screen is crystal clear and the system is very responsive."], "output": "[['display 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": ["everything about a mac is wonderful, it takes a little used to learning and getting used to the new system, but you will learn fast and its all worth it."], "output": "[['laptop general', 'positive'], ['os 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 a pleasure to type on."], "output": "[['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This one has had the same effect."], "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": ["Don't expect much in terms of performance from this laptop."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The New Macbook pro working, good user experience, fast speed, faster start up time."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The battery life has not decreased since I bought it, so i'm thrilled with that."], "output": "[['battery operation_performance', 'positive'], ['battery 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": ["Those moments in thime where you want to throw something against the wall?"], "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": ["Fan vents to the side, so no cooling pad needed, great feature!"], "output": "[['fans_cooling 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 speed is fine."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I hate the display screen and I have done everything I could do the change it."], "output": "[['display 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 laptop from Apple!"], "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": ["No ethernet outlet"], "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": ["The Final Cut Pro on this laptop is so fast and easy, and I can use this to seemlessly transfer all my work to my home computer, which is also a mac."], "output": "[['software operation_performance', 'positive'], ['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": ["By far the best laptop I've ever had."], "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 also does not have bluetooth."], "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": ["If you don't like fingerprints, this might not be the laptop for you."], "output": "[['laptop 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": ["Will probably get another one 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": ["I' doi9ng fine now, and happy as a bug."], "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": ["Fired up and worked for the first day and then the display died on my wife while she was taking a timed test."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love the size because the screen is big enough for what I use it for (Internet, artwork), and yet it is small enough to be reasonably portable."], "output": "[['laptop design_features', 'positive'], ['display design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The apple care has never failed me, and I expect it to be the same for this computer as well."], "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 run Dreamweaver, Final Cut Pro 7, Photoshop, Safari, Firefox, MSN Messenger and a few other applications constantly at the same time."], "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": ["Battery life needs more life."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This laptop is a complete cheap junk."], "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 didn't want to buy a generic brand computer but it is really nice."], "output": "[['laptop general', 'positive'], ['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": ["i use my mac all the time, i love the software, the way it takes a short time to load things, how easy it is to use and most of all how you don't have to worry about viruses."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['software general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I had to pay $100 for a universal charger for this cheap $300 laptop."], "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": ["Still trying to learn how to use it."], "output": "[['laptop usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I regret buying it before understanding how awful it is to use."], "output": "[['laptop general', '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": ["The display is beyond horrible."], "output": "[['display 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 can't get any better."], "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 programs are esay to use and are quick to process this computer works like a charm."], "output": "[['software usability', 'positive'], ['software operation_performance', '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": ["WILL NOT EVERY BUY ANOTHER--------LOU"], "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": ["Although it was slow but I felt it was ok for the price you have bought it."], "output": "[['laptop operation_performance', 'negative'], ['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": ["In two months, both the power cord pin broke (the company replaced it) and then the CD drive literally jumped out of the laptop unannounced and shattered into a million pieces."], "output": "[['power_supply quality', 'negative'], ['support quality', 'neutral'], ['optical_drives 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 Unibody construction is solid, sleek and beautiful."], "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": ["Now that I have it I see that I really needed this for much more."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["HELP, HELP, OTHER THAN THAT GETS A GREAT LITTLE WONDER."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I am very Happy!"], "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 first thing I can say for positive is that the laptop is very light- makes it really portable..this with a relatively clear screen is a bonus."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["There are so many things wrong with this product, it just makes me want to set my self on fire!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Good laptop for the money."], "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 also love having the extra calculator number set up on the keyboard which most laptops do not have."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It was not responsive at all to touch."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["As a computer science student in college, I find that the portability, longevity, and ease of use of this computer make me (shockingly) want to do homework more;"], "output": "[['laptop portability', 'positive'], ['laptop quality', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'd recommend this laptop to anyone!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Needs Power and Mouse Cable to Plug in back instead of side, In the way of operating a mouse in small area."], "output": "[['mouse operation_performance', 'neutral'], ['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": ["Would HIGHLY recommend this netbook though."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It has some bloat wear that I wish weren't there."], "output": "[['laptop design_features', 'negative'], ['software 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 lcd screen stopped working on mine after 10 months."], "output": "[['display quality', 'negative'], ['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The mouse pad however is very loud which is why i gave it four stars."], "output": "[['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": ["I'm very happy with this machine!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Worth the investment and truly a fine piece of equipment."], "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 absolutely love my mac!"], "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": ["Retina screen, solid build quality, weight, fast processor and the reliability of the Apple brand."], "output": "[['display quality', 'positive'], ['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['cpu 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": ["But with A WAY Bigger Screen, and IS able to connect to an HDMI."], "output": "[['display design_features', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Also the display is exceptional!"], "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": ["Keyboard good sized and wasy to use."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Everything is falling apart internally and externally."], "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": ["If you're looking for a basic PC this is the way to go."], "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": ["With today's company fighting over marketshare, its a shame that ASUS can get away with the inept staff answering thephone."], "output": "[['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": ["Let me tell you, this machine is great."], "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": ["Great product, and couldn't be happier with 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": ["They didn't even try to assist me or even offer a replacement."], "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 was super easy to set up and Is really easy to get used to."], "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 IMPRESSED WITH THIS COMPUTER, INEXPENSIVE BUT QUALITY."], "output": "[['laptop general', 'positive'], ['laptop price', '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 am totally satisfied with my little toshie!"], "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 my new computer!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The OS is also very user friendly, even for those that switch from a PC, with a little practice you can take full advantage of this OS!"], "output": "[['os 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 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."], "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 enough time for me to give it 5 stars!"], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's so damn good I bought 2 :D"], "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 glare of the glossy-retina display is unbearable."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've saved a lot of time and headaches so far, using my new MacBook Pro."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Battery could be better but it has robust processor and plenty of RAM so that is a trade off I suppose."], "output": "[['battery operation_performance', 'negative'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I dont understand how anyone can think this is a great product worth purchasing."], "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": ["Did I mention everything about it, from size to weight to keyboard screams BULK?"], "output": "[['keyboard general', 'negative'], ['laptop design_features', '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": ["When calling Dell for help, reurn, or a new computer they were not useful and left it up to myself to figure out what to do with 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": ["The touch pad is among the best."], "output": "[['mouse 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 favorite colors black and red, the matte material and the red backlight of the keyboard."], "output": "[['laptop design_features', 'positive'], ['laptop 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": ["Been using it for about 4 hours now and it seems plenty fast and does everything I need it to do."], "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": ["THIS LAPTOP WAS BAD FROM THE FIRST DAY OF USE----BROUGHT IT BACK TO STORE FOR RETURN OF MONEY."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you are looking for a netbook pc DO NOT BUY FROM ASUS!!!"], "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": ["Just wish there were more USB ports."], "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 has times were it freezes for 10 seconds and then starts again."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The 13\" MacBook Pro is portable, durable, and very capable."], "output": "[['laptop quality', 'positive'], ['laptop portability', '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'm glad I bought this laptop, it was worth the few ($100) extra dollars."], "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": ["awesome laptop, 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": ["Even if Apple replaces whatever needs replacing I wonder if, since I seem to be doubling the amount of time I get out of it each time it's \"like new,\" I might have 8 months next time."], "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 am first time Mac Buyer and am amazed at features and ease of use the Mac offers."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Performs as advertised, if not better!"], "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": ["It has everything I would need for a home computer."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["All I can say is W-O-W."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is without a doubt the worst laptop I've ever had."], "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": ["Now I have the best of both worlds with all of the power and ease of the Mac!"], "output": "[['laptop operation_performance', 'positive'], ['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": ["5 months dead again."], "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": ["The screen is a little glary, and I hated the clicking buttons, but I got used to them."], "output": "[['display quality', 'negative'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I couldn't even install linux on it."], "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 most amazing part to me as a PC user is the startup and shutdown times - and the fact that you very rarely have to restart the thing."], "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": ["Most everything is fine with this machine: speed, capacity, build."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc 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": ["And at one point, they blame me for installing a bad memory stick when I upgrade my memory for the first time during my purchase of the laptop (I bought the memory stick they recomended)."], "output": "[['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": ["You will love this macbook if you choose to buy it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I had something else go wrong and they said it had to be in good working order to be able to buy the 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": ["The only problems are the sound isnt very loud I have to wear headphones."], "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 screen is bright and clear, the operating system is solid and friendly to a novice."], "output": "[['display quality', 'positive'], ['os quality', 'positive'], ['os 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 still beautiful and has better color reproduction than I could ever expect from a notebook."], "output": "[['display design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Feels like solid state."], "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 works great for general internet use, Microsoft Office apps, home bookkeeping, etc."], "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 also like that you can scroll down in a window using two fingers on the trackpad."], "output": "[['mouse operation_performance', '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": ["Only downfall is the preloaded McAfee and other software."], "output": "[['software general', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A masterpiece of 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": ["That whole experience was just ridiculous we sent it in and after they told us that we had to pay $175 to fix it we were like we will just by a portable mouse which would be way cheaper but they refused to send the laptop back until we paid the $175 and it was fixed."], "output": "[['support price', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["THis computer may be small but it is one heck of a power horse."], "output": "[['laptop operation_performance', '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": ["The battery never held a charge longer than one hour and within two months, stopped holding a charge for more than ten minutes."], "output": "[['battery operation_performance', 'negative'], ['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": ["So yes, it is ridiculously fast."], "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": ["excellent item, shipped on time, met my expectations, it doesnt heat at all, dont use it for gaming"], "output": "[['laptop general', 'positive'], ['shipping quality', 'positive'], ['laptop quality', 'positive'], ['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": ["the only drawback is no DVD player.. but for $20 you can buy an external one"], "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": ["If you want a computer that plays games or any advanced tasks like editing video, this computer is NOT for you."], "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": ["They would repair one thing, send it back and it would still have the same 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": ["Since I've had this computer I've only used the trackpad because it is so nice and smooth."], "output": "[['mouse usability', 'positive'], ['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": ["It doesn't have a lot of frills, but I didn't need any, and being able to buy what I needed, and not more than I needed was very important."], "output": "[['laptop 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": ["Charger seems large for this class of computer."], "output": "[['power_supply 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 best thing is even while doing almost ten or twenty things at once, it never slows down."], "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": ["My laptop was easy to set-up, and I've had no problems to date."], "output": "[['laptop usability', '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 have so much trouble turning the computer on."], "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": ["But the  touchpad is soooooooooo big that whenever I am typing, my palm touches some part of it and then the cursor goes somewhere else and it's really annoying."], "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": ["There is a blank lighted screen when I start and that is all."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Price and purpose is awesome!"], "output": "[['laptop price', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So, buyers beware!"], "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 am not happy at all with the product I purchased."], "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": ["Not super fancy, but not super expensive either."], "output": "[['laptop design_features', '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": ["It does run a little warm but that is a negligible concern."], "output": "[['laptop 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": ["Unable to boot up this brand new laptop."], "output": "[['laptop quality', '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": ["Spent 2 hours on phone with HP Technical Support."], "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 needed an inexpensive laptop to do basic office work on that was lightweight and this fits the bill just fine."], "output": "[['laptop price', 'positive'], ['laptop design_features', '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": ["Overall good but processing power isn't very good."], "output": "[['laptop general', 'positive'], ['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["3.Fairly fast."], "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": ["The processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing."], "output": "[['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is really fast and I'm shocked as to how easy it is to get used to..."], "output": "[['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": ["I love my macbook pro!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["do not buy you will be disappointed."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The WiFi is very weak."], "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": ["VERY disappointing:"], "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 think that anyone looking for a good durrable laptop then this is the way to go."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I just received the laptop and if it runs like this already cant imagine how it would work in the next couple of weeks."], "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": ["One positive aspect of this laptop is the keyboard, which is larger than usual."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["think i would spend little extra to get a better made laptop."], "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": ["Crisp screen, great battery life, and plenty of storage."], "output": "[['display quality', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Buy it, love it, and I promise you won't regret 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": ["Performance wise, it's a bit slow, but that's to be expected from a Celeron-class processor."], "output": "[['laptop operation_performance', 'negative'], ['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It took some getting used to on the Widows 8.1, after being an XP user for many years."], "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": ["I don't use my laptop in a way though that needs a long battery life so it's perfect for me."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It WORKS!"], "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": ["The Macbook starts fast, doesn't crash, has a fantastic display, is small and light (I have the 13.3\" model), and isn't always complaining about updates, lost connections, errors, blue screens, etc."], "output": "[['display general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I highly recommend that you buy this product."], "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": ["Turned it on and it was beeping."], "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 allows me to do everything I need from a computer and more."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Ok, one light to let you know if the damn thing is on."], "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": ["I like everything about 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": ["Here we are another year later and the computer is doing the same thing."], "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": ["So far, so good."], "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 just a little slow."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The battery life is amazing, the versitility is outstanding."], "output": "[['battery 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": ["It made the computer much easier to use and navigate."], "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 very pleased with my 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": ["Its also worth noting that there no bluetooth, no mircophone jack, no ethernet, no dvd/cd drive/burner, and no usb 3.0 ports."], "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": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["In the three years I've had my MacBook Pro, I have never had a virus on my computer, and I do a lot of work on the internet."], "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": ["Retina display is beautiful."], "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": ["Overall I feel this netbook was poor quality, had poor performance, although it did have great battery life when it did work."], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['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": ["The battery life seems to be very good, and have had no issues with it."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Apparently under the screen there are 2 little screws and when the screen gets moved back and forth, they come loose."], "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": ["The 'A' key became jammed so that sometimes it wouldn't press in."], "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": ["In those three years, I've had a couple of minor problems and both were resolved by Apple quickly and easily."], "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": ["The extended warranty for the $4000 and up computers was the only one available for purchase on the drop drown menu."], "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": ["I love it - never had a computer I was so impressed with - and I've had a lot of laptops and desktops - this one is FAR AND ABOVE THE BEST ONE I EVER HAD BEFORE."], "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 Notebook PC,Toshiba Qosmio is the best gift my father could have ever gotten me."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Battery is not upgradable to a longer life battery."], "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": ["they have not sent a new one nor called."], "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": ["Otherwise, 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 service I received from Toshiba went above and beyond the call of duty."], "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": ["Everything seems to be running smoothly."], "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": ["Each time taking about 1 day or so."], "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": ["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."], "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": ["kinda to light and plastic feeling."], "output": "[['laptop design_features', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I HATE this one."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["but other then that I would give this product a 4 in hafe stars."], "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 the design rather sleek and light."], "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 body is a bit cheaply made so it will be interesting to see how long it holds up."], "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": ["after much effort and 10 days ASUS replaced 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": ["After replacing the hard drive the battery stopped working  (3 months of use) which was frustrating."], "output": "[['battery quality', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Had some trouble finding a case that it would fit 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": ["Apparently they are defective since they are not securely attached."], "output": "[['ports 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 price and what I get out of it has exceeded my expectations."], "output": "[['laptop price', '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": ["Great for web design and general work."], "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 So called laptop Runs to Slow and I hate it!"], "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 recommend for word processing and internet users."], "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": ["This is a nicely sized laptop with lots of processing power and long battery life."], "output": "[['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You also have to press firmly on the keys."], "output": "[['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": ["Oh yeah, don't forget the expensive shipping to and from HP."], "output": "[['shipping 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": ["Couldn't keep a page up you were working on!"], "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": ["I love the keyboard."], "output": "[['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["First the screen goes completely out."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["very convenient when you travel and the battery life is excellent..."], "output": "[['battery operation_performance', '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 headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic, not to mention the laptop was designed for right handed person."], "output": "[['ports design_features', 'negative'], ['mouse usability', 'negative'], ['laptop design_features', '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": ["Is just amazing.=)"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is not a small, compact laptop, but I won't be traveling via air often, so its size and weight is not a problem for me."], "output": "[['laptop design_features', 'neutral'], ['laptop portability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Its small enough where I can take it pretty much anywhere, but still has a big enough screen to get everything done."], "output": "[['display design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Apple continues to shine and provide a much more enjoyable computer experience!"], "output": "[['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": ["As well as having the plug in the computer come loose."], "output": "[['power_supply 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": ["Small screen somewhat limiting but great for travel."], "output": "[['display design_features', 'negative'], ['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": ["THEN, one month after the warranty expired, the replacement charger went."], "output": "[['power_supply 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 had nothing but problems since the day I took it out of the box!"], "output": "[['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": ["It's also very energy efficient, running on a quarter of the power it takes to run a 60 Watt lightbulb."], "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": ["So if you don't have kids, or not in high school or don't accidently sit on it, it should be fine."], "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": ["Glad it has the DVD drive."], "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 first full charge of this battery got me only about 2 full hours."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This things run smoothly for its price, and the battery life seems to go on forever."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['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": ["Plus stylish."], "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": ["Also the speakers are not very loud, But it is a netbook."], "output": "[['multimedia_devices 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": ["SUPER 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": ["Fantastic for the price - just wish it the keys were illuminated."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I do not recommend this company or their products!!!!"], "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 system constantly overheats, the battery life is too short, the case is coming apart, and my core applications that I use every day in my work as a graphic artist run poorly."], "output": "[['battery operation_performance', 'negative'], ['laptop quality', '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 swear they design these things to go to crap after a year so you are stuck and have to buy a new one."], "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": ["Today, it hasn't worked at all more than it has."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have had this laptop for a few months now and i would say im pretty satisfied."], "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": ["From the start, when you open the box you see a completely different class of machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Just a bunch of idiots who's English as a 5th language is forced at best."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love HP,, it's the only computer/printer we will buy."], "output": "[['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": ["A good value for the money."], "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": ["Really like the textured surface which shows no fingerprints."], "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 Mac Book Pro performs flawlessly."], "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": ["The HD display is sensational, and now watching any movie is a very enjoyable experience for me."], "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": ["I have had no luck with staples or HP to resolve this 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": ["Well, they don't care a bunch."], "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": ["Sounds like a washer."], "output": "[['fans_cooling quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It really is perfect for work and play."], "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": ["1.Great display."], "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": ["Also, I have no regrets about going with the 8GB RAM because its super fast."], "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": ["It took almost 20 minutes to boot up."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Macbook is a fantastic 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": ["Speakers don't get that loud, but good enough."], "output": "[['multimedia_devices quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I don't like this company nor the toshiba brand, and I'll never  buy another one because I've put more into it then it is worth."], "output": "[['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": ["dell is a decently made pc."], "output": "[['laptop general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I bought it for my parents (late 60s) and they love it - particularly the keyboard and screen."], "output": "[['laptop general', 'positive'], ['keyboard general', 'positive'], ['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": ["I've never had problems with 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": ["The overall build quality of the unit is excellent and she'd recommend it to anyone else looking for a netbook."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This computer is the ideal college companion."], "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": ["Now the machine won't connect and Toshiba says that they did replace the connection card in May but they only warranty the repair for 30 days and now I'm out of warranty even though this has been a constant 5 month occurance since I bought the netbook."], "output": "[['laptop connectivity', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Had to have this computer repaired twice in the first 5 months after purchasing 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's an amazing 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": ["3) Horrible customer support-they lost my laptop for a month-got it back 3 months later"], "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": ["Most of the things about the laptop is awesome except the touchpad."], "output": "[['laptop general', 'positive'], ['mouse general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The battery is really long."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Suffice it to say, my MacBook Pro keeps me going with its long battery life and blazing speed."], "output": "[['battery operation_performance', '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": ["Now they are believers in the product."], "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": ["Battery life could be better but overall for the price and Toshiba's reputation for laptops it's great!"], "output": "[['battery operation_performance', 'neutral'], ['laptop general', 'positive'], ['laptop price', 'neutral'], ['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": ["It has good speed and plenty of hard drive space."], "output": "[['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is a bit heavy."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Did not disappoint me 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": ["The keyboard and sound are great, and the matte screen works well."], "output": "[['keyboard general', 'positive'], ['multimedia_devices quality', 'positive'], ['display 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 find that it often gets very slow and I have to restart more than usual."], "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": ["After a little more than a year of owning my MacBook Pro, the monitor has completely died."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["it is hard to fix and makes it a hassle to own 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": ["I actually contact Toshiba before I started having problem and was given run around after I supplied serial number in order to delay me sending in laptop until after warrenty expired."], "output": "[['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": ["Also, my sister got the exact same laptop (since they were so cheap) and after 8 months, the screen split in half just from everyday use."], "output": "[['display quality', 'negative'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm excited to learn more about what this powerful machine has to offer and encourage others to do the same."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The screen is bright and vivid and the keyboard is very easy to use, very important for use quick typers."], "output": "[['display quality', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Immediately didn't like the track buttons."], "output": "[['mouse 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 a bad laptop, it's a bit slow, but gets the job done."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But as time went on I found it almost impossible to keep the thing on-line through wi-fi."], "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": ["tosiba has a good reputation, my llast computer was an acer."], "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": ["The Internet Explorer was very slow from the very beginning."], "output": "[['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'm still exploring the various features but overall I am satisfied with my purchase."], "output": "[['laptop 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 will be considering Lenovo for all future laptop purchases."], "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": ["Battery power laptop had difficulties computing."], "output": "[['laptop operation_performance', '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": ["I baby my electronics so I know for a fact it was defective and not anything that I did to it."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The unibody design is edgy and durable."], "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": ["the size of has actually help me out quite a bit by me being able to fit it in an already full backpack and to use it at a resturant where the food on the table is always so space consuming."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Its fast, has High definition quality in the videos."], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the complete opposite to an ergonomic design."], "output": "[['laptop design_features', '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": ["It still seems to be a little lose now but so far seems to be hanging in there."], "output": "[['power_supply 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 this computer, this is my first ever Mac (I'm 21) and it took a little while to switch over from the OS I was used to, but it was a fast learning curve."], "output": "[['laptop 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": ["This is a great bargain."], "output": "[['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Then after paying for it to be examined I was told it was same problem cited on website but I'd have to pay anyways since it was past warrenty."], "output": "[['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": ["Machine gets fairly hot near the bottom of the screen."], "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": ["The computer blinks it shuts off at will."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The book is useless."], "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": ["THE MOTHERBOARD IS DEAD !"], "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": ["It pretty much does everything we could ever need, and looks great to boot."], "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 always have used a tower home PC and jumped to the laptop and have been very satisfied with its performance."], "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 took it to the shop and they said It would cost too much to repair it."], "output": "[['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Speakers doesn't sound that great."], "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 love the easy to see screen, and It works well for work, persoal or just play."], "output": "[['display 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": ["BUT there's this application called Boot Camp which allows you to add another OS X like Windows."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've had to call Apple support to set up my new printer and have had wonderful experiences with helpful, english speaking (from Vancouver) techs that walked me through the processes to help me."], "output": "[['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": ["My one complaint with this laptop is that I've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in."], "output": "[['ports 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": ["Anyways I bought this two months ago and when I first brought it home it kept giving me a message about a vibration in the hard drive and it is putting it temporaly in save zone."], "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": ["Highly 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": ["I wouldn't play a first-person shooter with this, mind, but if you wanted to run MS Office, email, chat, download a video, listen to music from a certain fruit-named music store, and were looking for a highly portable yet powerful netbook to do that all in, I'd highly recommend checking this out."], "output": "[['laptop portability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall I am very satisfied with the 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": ["I even installed a windows partition to be able to run Windows software."], "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": ["Disc drive will not open or function"], "output": "[['optical_drives quality', 'negative'], ['optical_drives 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": ["Great PC."], "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 house is now 100% Macbook."], "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": ["This comes in very handy for me as an educator."], "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": ["But the Macbook is the best!"], "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 battery doesn't last long but I'm sure an upgrade battery would solve that problem."], "output": "[['battery operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The magnetic plug-in power charging power cord is great (I even put it to the test by accident)- excellent innovation!"], "output": "[['power_supply 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": ["If you want to travel with this laptop, don't buy it."], "output": "[['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Frustrated I hung up and tried to call back 3 days later to be told that it takes 2-3 days for turnaround time."], "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": ["Lightweight and the screen is beautiful!"], "output": "[['display 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 got the blue screen of death the first month I got 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": ["I Contacted HP\u00a0\u00a0about this situation and was given excuses, without results."], "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": ["Simply amazing computer!!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The graphics are stunning."], "output": "[['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": ["My MacBook Pro is no exception."], "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": ["Clear picture on it and everything."], "output": "[['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": ["My final thoughts: if you are a Mac user, stay away."], "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 really like the video option on it, I stream movies on Amazon Prime and Netflix and there is no lag."], "output": "[['laptop 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": ["My MacBook is probably the best investment I have ever made."], "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 that was the fourth time ive sent it to them to get fixed."], "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": ["Killer 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": ["Perfectly adequate."], "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 the manual is somewhere on the hard drive, but I rather have a hard copy."], "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": ["Despite the fact that there's no optical drive, everything is perfect."], "output": "[['laptop 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": ["It is also very lightweight, making transporting this computer very easy."], "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": ["Purchased for development purposes, but it has turned into my everyday laptop as well for surfing, e-mail, etc."], "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": ["WONDERFUL machine;"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I love my new ThinkPad!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Good, fast service."], "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": ["This place doesn't make any sense"], "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": ["Great atmoshere and worth every bit."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i've been to sapphire twice and both times the food was fine, if not 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": ["Great pizza and fantastic service."], "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": ["I was there on sat. for my birthday and we had an excellent time."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place is not worth 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": ["Be sure not to get anything other than bagels!.."], "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": ["Was surprisingly disappointed."], "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 love margherita pizza \u2013 i looove east village pizza"], "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 thought I had died and gone to heaven."], "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": ["quacamole at pacifico is yummy, as are the wings with chimmichuri."], "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": ["Don't miss Bloom's on your next trip to Manhatten."], "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 nearly impossible to get a table, so if you ever have the chance to go here for dinner, DO NOT pass it up."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save 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 average to above-average; the French Onion soup filling yet not overly impressive, and the desserts not brilliant in any way."], "output": "[['food quality', 'positive'], ['food quality', 'negative'], ['food style_options', '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": ["Yes, the place is classy and beautiful, but they most certainly target the uber whealthy Not the common joe that wants to go all out every once in a while."], "output": "[['ambience general', '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": ["I would 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": ["The anti-pasta was excellent, especially the calamari, as were the filling pasta mains."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['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've had my fair share of modern Japanese and this spot delivers."], "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": ["Again, I'd be super upset if that were my employee."], "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": ["If we were to move from the upper east side, we would genuinely miss this restaurant."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Single Worst Restaurant in Manhattan"], "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 loved everythig about it-especially the shows and actors."], "output": "[['restaurant general', 'positive'], ['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": ["I wasn't here for the pizza so I can't comment on that yet but what I had was 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": ["It\u2019s just you and your date and an occasional cute \u2018excuse me\u2019 before the waiter opens the little curtain to your booth!"], "output": "[['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We, there were four of us, arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude."], "output": "[['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 owner truly caters to all your needs."], "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 don't appreciate places or people that try to drive up the bill without the patron's knowledge so that was a huge turnoff (more than the price)."], "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": ["A little noise but I think that was because of our party!"], "output": "[['ambience 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": ["Indoor was very cozy and cute."], "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": ["Delicious, creative and fun."], "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": ["On our last visit, they skipped over our name on the list, leaving us waiting an extra hour for a table."], "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": ["For the price, you cannot eat this well in Manhattan."], "output": "[['restaurant prices', '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": ["Overall, not worth the money."], "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": ["Our visit their to say the least, was an unpleasant and costly experience!"], "output": "[['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Only complaint is the pricing--I believe it would be more reasonable to pay a dollar less on each item listed on the menu."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is very overpriced and not very tasty."], "output": "[['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": ["What a hassle!"], "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 found the food, service and value exceptional everytime I have been there."], "output": "[['food quality', 'positive'], ['service 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 was looking for banana tempura for dessert and they dont have."], "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": ["I would recommend Roxy's for that, but not for their food."], "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": ["They were served warm and had a soft fluffy interior."], "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 had fish and my husband had the filet - both of which exceeded our expectations."], "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": ["For those that go once and don't enjoy it, all I can say is that they just don't get it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I go and eat out at many different restaurants and this is one place you have go and try."], "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": ["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": ["Service was just ok, it is not what you'd expect for $500."], "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": ["So rude!!!"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We concluded with tiramisu chocolate cake, both were delicious."], "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 beautifully designed dreamy Egyptian restaurant that gets sceney at night."], "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 thought the restaurant was nice and clean."], "output": "[['restaurant 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": ["Cheese plate is a varied delight and great bargain at $10."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["also it's great to have dinner in a very romantic and confortable place, the service it's just perfect...they're so frendly that we never want to live the place!"], "output": "[['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Delivery guy sometimes get upset if you don't tip more than 10%."], "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": ["For desserts, we tried the frozen black sesame mousse (interesting but not extraordinary) and matcha (powdered green tea) and blueberry cheesecake, which was phenomenal."], "output": "[['food quality', 'neutral'], ['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 manager came to the table and said we can do what we want, so we paid for what we did enjoy, the drinks and appetizers, and walked out."], "output": "[['service general', 'negative'], ['drinks 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 worth an one-hour drive."], "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": ["Mizu is home to creative and unique rolls not to found anywhere else."], "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": ["Conveniently located too, being right on Bedford ave."], "output": "[['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": ["The only thing that my friend left out is that when we sat down at the bar the bartender disappeared."], "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": ["Thank you everyone at Water's Edge."], "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 MOST wonderful restaurant in all of New York City, not just Brooklyn..."], "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 ambience was so fun, and the prices were great, on top of the fact that the food was really tasty."], "output": "[['ambience general', 'positive'], ['restaurant prices', '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": ["Very, very nice"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is great and reasonably priced."], "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": ["The main entree was also 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": ["This place is the most Japanese it can ever get."], "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": ["Bison was quite excellent however."], "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": ["Don't waste money on decor."], "output": "[['ambience 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 hostess was rude and I got a distinct feeling that they did not want to serve us."], "output": "[['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["lobster was good, nothing spectacular."], "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": ["so delicious!!!!!!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food."], "output": "[['food style_options', 'positive'], ['food style_options', '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 food is always fresh ..."], "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's somewhere you can eat and be happy."], "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 found it on a cold night, the perfect spot to warm up."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["(The asparagus, truffle oil, parmesan bruschetta is a winner!)"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great taste"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Even after they overcharged me the last time I was there."], "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 am happy i did the food was awsome."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great toppings definitely a place you need to check out for late night munchies or a mid day boost!"], "output": "[['food quality', '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": ["The floor was wet, the trash can filled with hand towels n all over the floor, no soap, and no hand towels left."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["However, I think this place is a good hang out spot."], "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": ["would NOT go back."], "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": ["Red Dragon Roll - my favorite thing to eat, of any food group - hands down"], "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": ["Make sure you try this place as often as you can."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service here was great, food was fantastic."], "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": ["We had half/half pizza, mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza!"], "output": "[['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the pad se ew chicken was delicious, however the pad thai was far too oily."], "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": ["And it was quick which is very important."], "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 however, is what one might expect."], "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": ["It's great to go for a quick lunch either alone or with a friend."], "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": ["This restaurant is VEGETARIAN; there are NO MEAT dishes whatsoever."], "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": ["The wait here is long for dim sum, but if you don't like sharing tables or if the typical raucous dim sum atmosphere is not your gig, this is a sleek (for Chinatown) alternative."], "output": "[['service general', 'negative'], ['ambience general', '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": ["But after last night, Spice Grill is the only place I'm eating indian cuisine."], "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": ["There is a downside if you're ordering in -- the delivery guys have MAJOR attitude."], "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 bar is very well stocked with interesting beers and well priced wines."], "output": "[['drinks style_options', 'positive'], ['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": ["Told us to sit anywhere, and when we sat he said the table was reserved."], "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": ["There was a small wait, but shorter than I expected."], "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": ["We did tip, I guess the model/waitress just wanted more and complained to the manager."], "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": ["Try the crunchy tuna, it is to die for."], "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": ["While their kitchen food is delicious, their Sushi is out of this world."], "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 food was average or above including some surprising tasty dishes."], "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 Pizza and wine were excellent-the service too--but what really MADE this place was the backyard dining area."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['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": ["We will return many times for this oasis in mid-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": ["Great service, great 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": ["The place was quiet and delightful."], "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": ["My girlfriend, being slightly more aggressive, and having been equally disgusted causing her to throw out the remainder of her barely eaten meal, called back only to be informed that I was probably wrong and that it was most likely an oyster, and that we were also blacklisted from their restaurant."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["With the exception of our lemon salad that had so much pepper on it that our eyes started watering, the food here was decent, not great."], "output": "[['food quality', 'neutral'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm a friendly person, so I wouldn't mind had she not been so nasty and gotten so personal. "], "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": ["This place would be so much better served by being run by a group that actually understands customer 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": ["My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque."], "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": ["Once you try it for a special occasion beware.. you can't stop!"], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The wine list is interesting and has many good values."], "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": ["Good 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": ["The service was friendly and the atmosphere was casual."], "output": "[['service general', 'positive'], ['ambience 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 service was excellent - friendly 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": ["Loved it!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The hostess is rude to the point of being offensive."], "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": ["This place has great indian chinese 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": ["If it seemed possible to do so while there I would have fought my bill since my dinner portion of my meal was inedible!"], "output": "[['food quality', '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": ["Big thumbs up!"], "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": ["Fabulous food - if the front of house staff don't put you off \u2013 "], "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": ["However, it is jus too good to not praise it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They never brought us complimentary noodles, ignored repeated requests for sugar, and threw our dishes on the table."], "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": ["Thalia is a beautiful restaurant with beautiful people serving you, but the food doesn't quite match up."], "output": "[['service general', 'positive'], ['food quality', 'negative'], ['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 dosas are skimpy, unattractive and drip with grease, and personally I'd drink popcorn topping before I'd eat another one of these."], "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": ["I've been many time and have never been disappointed."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["When you're sitting in their main dining room (which has a spectacular, hand-painted high ceiling) you'd never know there was a world outside."], "output": "[['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": ["It is expensive but well worth the money."], "output": "[['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have eaten at Saul, many times, the food is always consistently, outrageously 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": ["A Thai restaurant out of rice during dinner?"], "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 view is spectacular, and the food is great."], "output": "[['location 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 Indian 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": ["This small Astoria souvlaki spot makes what many consider the best gyros in New York."], "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": ["Although we were looking for regular lettuce and some walnuts the salads we got were great."], "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 seafood is amazing, there's a good wine list, and the ever-changing menu always offers some great surprises."], "output": "[['food quality', 'positive'], ['drinks 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": ["They have authentic Indian at amazin prices."], "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": ["Try the congee and the donut like deep fried dough they call Ow Ley Soh, a delicious and sweet tasting 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": ["We were then shooed inside."], "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": ["This is my first time writing a review for a restaurant because the food and service was excellent."], "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": ["Went here on sat 1/26 and was disappointed."], "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": ["Prices are very good."], "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": ["Just not good at all."], "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": ["This was my frist time at Cafe St. Bart's and I must say how delicous the food and the service was."], "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": ["And it all comes at a very reasonable price (congee, noodles, and rice dishes are no more than $3-6 each)."], "output": "[['food prices', 'positive'], ['food prices', 'positive'], ['food prices', '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": ["The shrimp scampi was excellent and the antipasti were plentiful."], "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": ["In the end you end up with a fair tab and NOTHING BUT A GREAT TIME!!!"], "output": "[['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["As a Japanese native, I've lived in the Tristate area for over 8 years, but I was just so amazed at this place."], "output": "[['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": ["Kind, attentive wait staff."], "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": ["noodles with shrimp and chicken and coconut juice is the MUST!"], "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 was so stunned, and I left the dinner hungry and majorly disappointing."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The martinis are amazing and very fairly priced."], "output": "[['drinks quality', '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": ["My boyfriend had Prime Rib it was 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": ["The signs, the specials menus, food, and even all the waitstaff are ALL TOTALLY Japanese."], "output": "[['restaurant miscellaneous', 'positive'], ['food style_options', '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": ["Food is great."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great Shabu Shabu"], "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 really like both the scallops and the mahi mahi (on saffron risotto-yum!)."], "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": ["Eating in, the atmosphere saves it, but at your desk, it's a very disappointing experience."], "output": "[['ambience general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["All in all, this midtown gem instantly became one of my favorite sushi restaurants 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 refuse to seat parties of 3 or more on weekends."], "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 really recommend the very simple Unda (Egg) rolls."], "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": ["All in all we're already coming up with excuses to go ahead really soon in the next few wks!!!!"], "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": ["Mussles and calamari were superb Saturday evening."], "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": ["No gimmicks here -- the food speaks for itself in its freshness and preparation."], "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": ["Decent wine at reasonable prices."], "output": "[['drinks quality', 'neutral'], ['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": ["Food was very good, but not what I would consider out of this world."], "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": ["Good Experience"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["In the summer months, the back garden area is really nice."], "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": ["And even with it's Pub atmosphere they were great to my kids too!"], "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 love it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service is not what one would expect from a joint in this price category."], "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 would think we'd get an apology or complimentary drinks - instead, we got a snobby waiter wouldn't even take our order for 15 minutes and gave us lip when we asked him to do so."], "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 appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion (maybe 3 of each). "], "output": "[['food quality', 'positive'], ['food style_options', 'negative'], ['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 awful."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We ate out in the back patio, which is worth it as it's cool and the music is hear well there."], "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": ["She replied \"well it would be more convenient for us if you ordered now, since you are a larger party, and it might get crowded.\" "], "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": ["Service was good and food is wonderful."], "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": ["We ate at this Thai place following the reviews but very unhappy with the foods."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["By far the best salad I have had in a fast food restaurant."], "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 prices are wonderfully low."], "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": ["I was visiting New York City with a friend and we discovered this really warm and inviting 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": ["It melted in my little mouth and the perfect consistency-not too fishy, creamy, and slightly 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": ["I have tried to make reservations, but both times, the hostess didn't have my name."], "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 Dancing, White River and Millenium rolls are musts."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My boyfriend and I went there to celebrate my birthday the other night and all I can say is that it was magnificent."], "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 definitely a good spot for snacks and chat."], "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 literally just got back home after visiting Casa La Femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time."], "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": ["Terrible Waste of money.. scammers"], "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": ["Make sure you have the Spicy Scallop roll.. ."], "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 loved it and would go 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": ["Which lets face it....at times it's a good thing."], "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 restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "[['food quality', 'positive'], ['ambience 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": ["We were very pleasantly surprised."], "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 the duck breast special on my last visit and it was incredible."], "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": ["Never again!"], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu, present your meal, and attend to your needs."], "output": "[['service 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": ["Price is high but the food is good, so I would come back again."], "output": "[['food quality', 'positive'], ['food prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The stuff tilapia was horrid...tasted like cardboard."], "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": ["In summer-eat outside on a terrace (another great feature of Suan)!!!"], "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 have to highly recommend the lobster roll - not to much mayo; you can tell it was a fresh lobster."], "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 I got there the place was packed but they made sure to seat me quickly."], "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": ["It is quite a spectacular scene i'll give them that."], "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": ["Small servings for main entree, i had salmon (wasnt impressed) girlfriend had chicken, it was good."], "output": "[['food quality', 'negative'], ['food quality', 'positive'], ['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Consistently good Japanese Tapas."], "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": ["Will not be back."], "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": ["Fresh ingredients and everything is made to order."], "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": ["One special roll and one regular roll is enough to fill you up, but save room for dessert!"], "output": "[['food quality', '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 was, from start to finish, a mind-bogglingly uncomfortable 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": ["THIS STAFF SHOULD BE FIRED."], "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": ["Moderate prices."], "output": "[['restaurant prices', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Have eaten at Ginger House several times, and it's always good."], "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": ["A cool bar with great food, and tons of excellent beer."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['drinks style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The sashimi is always fresh and the rolls are innovative and delicious."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But that wasn't the icing on the cake: a tiramisu that resembled nothing I have ever had."], "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": ["La Rosa waltzes in, and I think they are doing it the best."], "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": ["Every time in New York I make it a point to visit Restaurant Saul on Smith Street."], "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 left, never to 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": ["This is by far my favorite place in the neighborhood."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["A coworker and I tried Pacifico after work a few Fridays and loved it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The wait staff is very courteous and accomodating."], "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": ["There's another girl who I can't describe, she is about 5'6\" with brown hair, who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said, so her uninvited opinions are often out of context and nothing to do with what you're *really* talking about. "], "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 can't remember the last time I had such gross food in New York."], "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": ["HIGHLY RECOMMENDED!!!!!"], "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 the Lamb special which was perfect."], "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": ["bad staff"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We asked for beverages and never received them."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I don\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": "[['restaurant 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": ["first it took us a long time to find the place."], "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": ["Best of all is the warm vibe, the owner is super friendly and service is fast."], "output": "[['ambience general', 'positive'], ['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": ["Don't judge this place prima facie, you have to try it to believe it, a home away from home for the literate heart."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service was prompt, friendly and great."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The bread we received was horrible - rock hard and cold - and the \"free\" appetizer of olives was disappointing."], "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 staff there is very attentive and down to earth."], "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 only thing more wonderful than the food (which is exceptional) is the service."], "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": ["it's the only place you can get yummy authentic japanese comfort 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": ["The service varys from day to day- sometimes they're very nice, and sometimes not."], "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 partial to the Gnocchi."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Try their chef's specials-- they are to die for."], "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": ["Highly recommended."], "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": ["Decor is nice though service can be spotty."], "output": "[['ambience general', '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": ["Our waitress wasn't mean, but not especially warm or attentive either."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Definitely a great spot for a nice occasion or date."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I can't wait for summer, when they serve outside on their gigantic patio."], "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": ["What a great 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": ["We didn't look like the other patrons in there so unfortunately I think that may have been part of the problem."], "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 spicy Tuna roll is huge and probably the best that I've had at this price range."], "output": "[['food style_options', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The decor is very simple but comfortable."], "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 place is so cool and the service is prompt and curtious."], "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": ["The blond wood decor is very soothing, the premium sake is excellent and the service is great."], "output": "[['ambience general', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Fantastic!"], "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 couldn't even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach."], "output": "[['food style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is where it really really gets bad: the manager said, there is absolutely nothing we can do, it's a matter of taste that she didn't like it, and I cannot comp it."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is okay and the prices here are mediocre."], "output": "[['food quality', 'neutral'], ['restaurant prices', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The wait staff is very freindly, they make it feel like you're eating in a freindly little european town."], "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 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": ["Patroon features a nice cigar bar and has great staff."], "output": "[['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We had a great time at the Jekyll and hyde Pub last night."], "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 had fun eating in there, we were there like around 3 a.m. in the morning!"], "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 place, which is only a few months old, is perhaps Queens' biggest secret!"], "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": ["Have recommended the place to friends, always gets good response."], "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": ["Its dark, and cozy.. there is always jazz music playing when we go."], "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": ["Also, I personally wasn't a fan of the portobello and asparagus mole."], "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": ["overpriced japanese food with mediocre service"], "output": "[['food prices', 'negative'], ['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": ["The food here is rather good, but only if you like to wait for it."], "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": ["They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place, but also become hostile!"], "output": "[['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": ["What more could you want?"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food's as good as 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": ["I am not a vegetarian but, almost all the dishes were great."], "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 portions are small but being that the food was so good makes up for that."], "output": "[['food style_options', '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": ["Your friends will thank you for introducing them to this gem!"], "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": ["Nevertheless, I finished my plate, and that's when I found a maggot in mushroom sauce at the bottom."], "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": ["Fish is so very fresh."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We went here for lunch a couple of weeks ago on a Saturday, and I was thoroughly impressed with 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']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was exceptional."], "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": ["Over all the looks of the place exceeds the actual meals."], "output": "[['ambience general', 'positive'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great spot, whether looking for a couple of drinks or quiet dinner."], "output": "[['restaurant 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": ["The bread was stale, the salad was overpriced and empty."], "output": "[['food quality', 'negative'], ['food prices', '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've also been amazed at all the new additions in the past few years: A new Jazz Bar, the most fantastic Dining Garden, the Best Thin Crust Pizzas, and now a Lasagna Menu which is to die for (these are not your average lasagnas)!"], "output": "[['ambience general', 'positive'], ['ambience general', '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": ["Planet Thailand has always been a hit with me , I go there usually for the sushi, which is great , the thai food is excellent too ."], "output": "[['food quality', '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": ["Leon is an East Village gem: casual but hip, with well prepared basic French bistro fare, good specials, a warm and lively atmosphere."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', '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": ["not only is the food"], "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": ["Authentic Pakistani 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": ["Terrible would be a compliment!"], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The family seafood entree was 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": ["Drawbacks: service is slow and they don't toast!"], "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": ["So rushing us out was absolutely unnecessary!"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We were ushered to the bar to wait momentarily and upon arrival were so excited."], "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 recommend it!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Admittedly some nights inside the restaurant were rather warm, but the open kitchen is part of the charm."], "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": ["Good food: my favorite is the seafood spaghetti."], "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 meat is fresh, the sauces are great, you get kimchi and a salad free with your meal and service is good too."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I asked for a menu and the same waitress looked at my like I was insane."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We also asked for Hooka six times and the waiter kept telling us one minute and never returning with the 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": ["Worth the trip from 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": ["I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded."], "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 place is so much fun."], "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 come here enjoy very much with husband."], "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": ["LOVE the atmosphere - felt like I was in Paris."], "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 came across Village Underground by accident, now I go there all the time."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the turkey burgers are scary!"], "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": ["This is the best sushi in new york city - hands down."], "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": ["None was made so i hung up."], "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 cannot imagine better Indian food in all of the city."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is very good, but not outstanding."], "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": ["Polite acknowledgement is out;"], "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": ["My main concern was the sanity of the food that was being sent out to myself and others, but I would be lying is I said that as someone who has worked in restaurants since the age of fifteen I was expecting at least a minimal effort on the part of the restaurant to amend the situation."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Eat at your own risk."], "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": ["Place is open till late, no dress code."], "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": ["Wait staff is blantently unappreciative of your business but its the best pie on the UWS!"], "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": ["Still, any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house..."], "output": "[['restaurant prices', 'neutral'], ['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": ["If you're into being lost when you're just five feet from your table then hey, that's a good thing."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Consequently, their burgers fell apart in their hands and made such a mess that they did'nt feel like finishing them."], "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": ["WORST PLACE ON SMITH STREET 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": ["We had the lobster sandwich and it was FANTASTIC."], "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 absolutely love 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 highly recommend the restaurant based on our experience last night."], "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": ["Our family never expected such incredible entertainment in a restaurant."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I honestly don't even know where to begin."], "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": ["Yes, they use fancy ingredients, but even fancy ingredients don't make for good pizza unless someone knows how to get the crust right."], "output": "[['food quality', 'positive'], ['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I had to ask her three times before she finally came back with the dish Ive requested."], "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": ["But the staff was so horrible to us."], "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 lobster sandwich is $24 and although it was good it was not nearly enough to warrant that price."], "output": "[['food quality', 'positive'], ['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": ["Skip this restaurant, it's a big disappointment."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The bagels always warm, soft on the inside, crispy on the outside and enormous in size."], "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": ["People are always 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": ["I can't believe that it was, but please put the bag down before delivering food!"], "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 ambience was nice, but service wasn't so great."], "output": "[['ambience general', '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": ["Considering we were the last patrons there and it was after the closing time, the waitstaff did not rush us at all and made us feel comfortable and relaxed."], "output": "[['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": ["Nice view of river and NYC."], "output": "[['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": ["In fact, it appears he is going to go postal at any moment."], "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": ["It's a little out of our price range for dining there except on special occasions, but we've eaten there 6 times in the last 2 years. "], "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 baked clams octopus we shared as appetizers were the best we've ever had!! "], "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": ["Thius is a must for anyone who loves Shabu-Shabu."], "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": ["Wretched and retching"], "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": ["Food was okay, nothing great."], "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": ["There is no way it justifies the accolades it receives, the attitude of the staff or the wait for a table."], "output": "[['service general', 'negative'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The cream cheeses are out of this world and I love that coffee!!"], "output": "[['food quality', 'positive'], ['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 portion sizes here are huge, and the sushi is good."], "output": "[['food style_options', '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 fish was not fresh and the rice tasted old and stale."], "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": ["Other guests enjoyed pizza, santa fe chopped salad and fish and chips."], "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": ["Indo Chinese food, pretty 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": ["The concept of japanese tapas is newly created and clearly doesn't work."], "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": ["Over 100 different choices to create your own."], "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": ["These are overpriced and you can get better just around the corner:"], "output": "[['food prices', '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 flavors are amazing and the value is phenomenal."], "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": ["To top it all off.. the main reason we came to your restaurant was for the belly dancers and missed the first show as we were not seated yet and the 2nd belly dancer only danced at two tables in the back of the restaurant and never made it around to the other half of the restaurant."], "output": "[['service general', '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": ["Of course, it is crowded but who cares."], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I recommend this place to everyone."], "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 have a great cocktail with Citrus Vodka and lemon and lime juice and mint leaves that is to die for!"], "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": ["Great pizza for lunch place."], "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": ["Problem is nothing at Prune is particularly memorable."], "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 can get a table without a reservation if you get there early I they don't make you by bottles."], "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 overall i give it a 10"], "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": ["Surprisingly nothing could be further from the truth."], "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": ["Best Italian food I ever had (and being Italian, that means alot)."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We ended our great experience by having Gulab Jamun (dessert) recommended by the waiter."], "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": ["Try sushimi cucumber roll."], "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": ["What really makes it shine is the food, which is aggressively seasoned with Cyrpriot spices, and all made in-house (even the gyro meat and sausages), and made of much higher quality ingredients that might otherwise be expected."], "output": "[['food quality', 'positive'], ['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": ["The sushi was awful!"], "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": ["Steamed fresh so brought hot hot hot to your table."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service not the friendliest to our \"large party\"! "], "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": ["Winnie and her staff are the best crew you can find serving you."], "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": ["My fav was the sassy lassi..."], "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": ["We could have made a meal of the yummy dumplings from the dumpling menu."], "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": ["Go to Volare for 1st class service and terrific 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": ["The crust is thin, the ingredients are fresh and the staff is friendly."], "output": "[['food quality', '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": ["The porcini mushroom pasta special was tasteless, so was the seafood tagliatelle."], "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": ["They honored reservation on Sunday afternoon very 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": ["Quite frankly, this is some of the worst sushi I have ever tried."], "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": ["AMAZING MY FAVORITE!!!"], "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 recently went to this restaurant with some co-workers for lunch and had an amazing time."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Go here for a romantic dinner but not for an all out wow dining experience."], "output": "[['ambience general', 'positive'], ['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": ["We were offered water for the table but were not told the Voss bottles of water were $8 a piece."], "output": "[['drinks 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": ["I highly recommend it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the bestt!"], "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 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": ["Just because it's cheap does NOT mean the portions are small or the food is nasty, IT IS GREAT!"], "output": "[['food style_options', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I took one bite from the $24 salmon, and I have never, in the 17 years I have been going to restaurants tasted salmon as fishy, as dry, and as bland as the one in Flatbush Farms."], "output": "[['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": ["There's nice and quiet, small but enough for 6 (or more)."], "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": ["A quintessential slice of NYC pizza."], "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": ["Guaranteed to be a tasty experience!)"], "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": ["It's cuz it's so good you need to taste it!!! "], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They have a huge selection of different cream cheeses and all of their salads are great."], "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": ["honestly the worst sushi my husband and i had in our entire lives."], "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 was there for brunch recently, and we were tag teamed by a waitress and a waiter."], "output": "[['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Run don't walk."], "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": ["My wife had the fried shrimp which are huge and loved it."], "output": "[['food style_options', '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": ["Both times I was extremely dissappointed by the service, which was boarderline rude."], "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": ["Highly impressed from the decor to the food to the hospitality to the great night I had!"], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed."], "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": ["Nobody at this restaurant will give firm answers about anything and in the end, not one person takes responsibility for anything."], "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": ["Food was very good as well, considering that we tried the budget selection (though I wish the pork belly that I ordered was roasted a bit longer, so that fat was more of a melt-in-your-mouth experience)."], "output": "[['food 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": ["I go twice a month!"], "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": ["Whenever you need a Sushi fix, Mizu will be there with quality fish and great service."], "output": "[['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The dishes offered were unique, very tasty and fresh from the lamb sausages, sardines with biscuits, large whole shrimp to the amazing pistachio ice cream (the best and freshest I've ever had)."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['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": ["Thanks Bloom's for a lovely trip."], "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": ["Then, to top things off, she dropped used silverware on my boyfriend's jacket and did not stop to apologize or clean the mess that was left on clothes. "], "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": ["Beautiful experience."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The farro salad and the mashed yukon potatoes were also extremely 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": ["The waitress moved our table practically into the bathroom and when we asked to cancel our dinner orders because we did not want to eat sitting on the toilet, we were told no..."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We will definitely go back."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It's a rather cramped and busy restaurant and it closes early."], "output": "[['restaurant miscellaneous', '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": ["The food arrived in about 15 minutes. "], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Awesome"], "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": ["Have been dozens of times and never failed to enjoy the experience."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Tiny dessert was $8.00...just plain overpriced for what it is."], "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": ["A guaranteeed delight!"], "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 decor is night tho...but they REALLY need to clean that vent in the ceiling...its quite un-appetizing, and kills your effort to make this place look sleek and modern."], "output": "[['ambience general', 'negative'], ['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": ["However, our $14 drinks were were horrible!"], "output": "[['drinks quality', 'negative'], ['drinks 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 was no tap beer that evening, which was a disappointment. "], "output": "[['drinks 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": ["However, once I received my predictably mediocre order of what Dokebi thinks passes as Korean fair, (sometimes you have to settle when it's your only option), I got through about half my kimchee before I found a piece of random lettuce accompanied by a far more disgusting, slimy, clearly bad piece of fish skin."], "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": ["Service was also horrible and the ambience is not that great."], "output": "[['service 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": ["If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you'll love it here."], "output": "[['drinks prices', '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": ["Saul is the best restaurant on Smith Street and in Brooklyn."], "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 showed it to the manager, and he smilingly apologized and brought us two free desserts (but did not ask us what we wanted and so brought the last two desserts we would have asked for)."], "output": "[['service general', '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": ["Which of course is not real Kobe but Wagyu beef."], "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": ["Expensive"], "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": ["Maggot in the 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": ["A must try!"], "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": ["Can't wait wait for my next visit."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Anybody who likes this place must be from a different planet, where greasy, dry and tasteless are complimentary."], "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 spicy tuna roll was unusually good and the rock shrimp tempura was awesome, great appetizer to share!"], "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": ["We were greeted promptly by the waiter who was very nice and cordial."], "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": ["$20 for all you can eat sushi cannot be beaten."], "output": "[['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": ["The wine list is excellent."], "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": ["We were very disappointed."], "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 have NEVER been disappointed in the Red Eye."], "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 pasta was well cooked, didn't have enough sauce though or flavor."], "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": ["It's to die for!"], "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 love it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The flavors robust and subtle."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great 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": ["this is can became on e of the NY Italian Food fare institutions."], "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 will be 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 highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service."], "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": ["Unhygienic"], "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": ["It just wasn't Thai."], "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": ["Best restaurant in Brooklyn"], "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": ["Who has room for Cheesesticks with the best pizza in NYC!"], "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 thought this place was totally overrated."], "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": ["My mom originally introduced me to this place, but even she (being Indian) feels the food can be somewhat over the top spicy and far too oily."], "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 average."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This dish is my favorite and I always get it when I go there and never get tired of it."], "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": ["With the great variety on the menu , I eat here often and never get bored ."], "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 read reviews that called the restaurant too expensive and I thought to myself, but may be it is worth it."], "output": "[['restaurant 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": ["Possibly the Most Romantic Restaurant in the City"], "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 food was pretty tradional but it was hot and good with large portions."], "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": ["We were worried we would have trouble getting in, but somehow managed to have a short wait."], "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 have been to Roth's twice and both times were very disappointing."], "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": ["Best meal in a long time!"], "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's simply the best meal in NYC."], "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": ["(that is A MUST, but not every restaurant can do...) "], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service was very good - prompt, attentive and non-intrusive."], "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": ["We had the scallops as an appetizer and they were delicious and the sauce was wonderful."], "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": ["But the service is HORRID!"], "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": ["Not a great place for family or general dining."], "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": ["sometimes i get good food and ok service."], "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": ["We both opted for a pasta dish and they were served timely and fresh."], "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": ["I'd definitely 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": ["Everytime I decide to try another place on the UES, I get angry that I didn't just go to Zucchero Pomodori."], "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 chicken lollipop is my favorite, most of the dishes (I have to agree with a previous reviewer) are quite oily and very spicy, espeically the Chilli Chicken."], "output": "[['food quality', 'positive'], ['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": ["This is a nice pizza place with good selection of thin crust pizza including the Basil slice."], "output": "[['food style_options', 'positive'], ['food quality', '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": ["Best 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": ["This place is a great bargain."], "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": ["For authentic Thai food, look no further than Toons."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is reliable and the price is moderate."], "output": "[['food quality', 'positive'], ['restaurant prices', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place is incredibly tiny."], "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": ["When the main course finally arrived (another 45mins) half of our 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": ["amazing fun for hot dog lovers of all ages PLEASE do yourself a favor and check this place out!!!!"], "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": ["Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance, but in this unattractive room with unhelpful clerks there was a dearth of the former too."], "output": "[['restaurant general', 'negative'], ['ambience general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Slightly on the pricey side but worth it!"], "output": "[['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My chicken was inedible as there were so many fatty lumps which i had to keep spitting out into my napkin."], "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 fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork."], "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 waiter was attentive, the food was delicious and the views of the city were great."], "output": "[['service general', 'positive'], ['food quality', '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": ["Don't be fooled by crowds of people."], "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 only problem is that the manager is a complete incompetent."], "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": ["It wasn't as if this restaurant had any major bragging points before hand, but now it's simply repulsive."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The first time I went, and was completely taken by the live jazz band and atmosphere, I ordered the Lobster Cobb Salad."], "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": ["Stepped on my foot on the SECOND time he reached over me to adjust lighting."], "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": ["It's a small cute 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 place is a BISTRO which means: simple dishes and wine served efficiently in a bustling atmosphere."], "output": "[['food style_options', 'positive'], ['drinks style_options', 'positive'], ['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": ["As BFC doesn't take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated, which can be over an hour later!"], "output": "[['restaurant miscellaneous', 'negative'], ['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've been to at Cafe Spice probably 5-8 times, it is probably still the best Indian restaurant around Union Square."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The sushi seemed pretty fresh and was adequately proportioned."], "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": ["We all agreed that mare is one of the best seafood restaurants in New York."], "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": ["Poor service and management"], "output": "[['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["peppers, onions, relish, chilli, cheeses, you NAME it."], "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 stumbled on Leon, we thought that we had found quite the gem BUT, we were certainly wrong."], "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": ["A large is $20, and toppings are about $3 each."], "output": "[['food prices', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Ambience is so cute and quaint, good for business although we were there on vacation."], "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": ["Don\u2019t go to this place!"], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Amazing 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": ["I definitely wouldn't go back."], "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": ["Always great service!"], "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 portions are HUGE, so it might be good to order three things to split (rather than one appetizer and entree per person) for two people."], "output": "[['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 am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side."], "output": "[['service general', 'negative'], ['food prices', '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": ["Excellent food, although the interior could use some help."], "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": ["And evaluated on those terms Pastis is simply wonderful."], "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 alright"], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["bottles of wine are cheap and good."], "output": "[['drinks prices', 'positive'], ['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": ["Always good drinks and service is pretty good;"], "output": "[['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["All the staff is absolutely professional!! "], "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 menu is limited but almost all of the dishes are excellent."], "output": "[['food style_options', '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": ["How is this palce still open?"], "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": ["They wouldnt even let me finish my glass of wine before offering another."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is great and the environment is even better."], "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": ["Slightly above average wines start at $70+ with only one selection listed at $30+."], "output": "[['drinks quality', 'negative'], ['drinks 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": ["Immediately after we paid, the waiter took the money and said, okay, you guys are outta here."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We ordered some beef and noodle soup dishes from the Thai section of the menu but nothing we got was Thai."], "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 am actually offended to have spent so much money on such a bad experience."], "output": "[['restaurant general', 'negative'], ['restaurant prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I believe there were 2 shrimp in the \"salt encrusted shrimp\" appetizer. "], "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": ["I recommend the jelly fish, drunken chicken and the soupy dumplings, certainly the stir fry blue crab."], "output": "[['food quality', 'positive'], ['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": ["great food, great wine list, great service in a great neighborhood..."], "output": "[['food quality', 'positive'], ['drinks style_options', 'positive'], ['service general', '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": ["The view is breathtaking the service is top notch... the ambiance is wonderfull."], "output": "[['location general', 'positive'], ['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": ["Will never be back."], "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 choose to go with one of the special, the braised lamb shank in red wine, which was 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": ["Fantastic 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": ["All in all the food was good - a little on the expensive side, but fresh. "], "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": ["Staff is very accomodating."], "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 brioche and lollies as party favors is a cute and sweet touch to a most memorable meal."], "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's all about 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']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My quesadilla tasted like it had been made by a three-year old with no sense of proportion or flavor."], "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": ["With the theater 2 blocks away we had a delicious meal in a beautiful room."], "output": "[['food quality', 'positive'], ['ambience general', '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": ["Everyone raved about the atmosphere (elegant rooms and absolutely incomparable views) and the fabulous food!"], "output": "[['ambience general', 'positive'], ['ambience general', 'positive'], ['location 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": ["A weakness is the chicken in the salads."], "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 wine list is extensive and can easily hike up an otherwise reasonably priced meal."], "output": "[['drinks style_options', '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": ["Priced at upper intermediate range."], "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": ["I have it a 4 instead of 5 because of the price (just chicken tikka masala - no bread of rice - is $25), which I would expect at a upscale Indian restaurant but this place doesn't have an upscale feel."], "output": "[['restaurant general', 'positive'], ['restaurant prices', 'negative'], ['food prices', '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": ["Guess what, I waited for TWENTY minutes before she came over and when she finally did, she says, \"oh well, I wish you would have said something earlier\" No apology, nothing."], "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": ["You'll be ther for every anniversary, birthday, valentines day..."], "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": ["However, go for the ambience, and consider the food just a companion for a trip across the world!"], "output": "[['ambience general', 'positive'], ['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I started out with a Bombay beer which was big enough for two."], "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": ["Got a date? Go here!"], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is amazing... especially if you get the Chef's tasting menu and your favourite bottle (or two!) of wine from an extensive selection of wines."], "output": "[['food quality', 'positive'], ['drinks style_options', '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 asked for an open faced cheese sandwich and the manager basically told me to take my business elsewhere!"], "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": ["No desert menu, no apology, nothing!!!!!!"], "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": ["Downstairs lounge is always a good attraction"], "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 pray it stays open forever."], "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": ["You can't 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 had their eggs benedict for brunch, which were the worst in my entire life, I tried removing the hollondaise sauce completely that was how failed it was."], "output": "[['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": ["Finally a reliable Chinese restaurant!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert."], "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": ["Would NEVER go back"], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the all-u-can-eat sushi is definitely in very poor quality."], "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 is a good restaurant, but it's nothing special."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You can get a completely delish martini in a glass (that's about 2 1/2 drinks) for $8.50 (I recommend the Vanilla Shanty, mmmm!) in a great homey setting with great music."], "output": "[['drinks quality', 'positive'], ['drinks style_options', 'positive'], ['drinks prices', 'positive'], ['drinks quality', 'positive'], ['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": ["Went on a 3 day oyster binge, with Fish bringing up the closing, and I am so glad this was the place it O trip ended, because it was so great!"], "output": "[['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": ["My friend got the mushroom pizza which tasted better."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service is top notch."], "output": "[['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not only is the cuisine the best around, the service has always been attentive and charming."], "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": ["Very \"normal Indian food\", but done really well."], "output": "[['food style_options', 'neutral'], ['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": ["Taking Hot Dogs to the next level"], "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 Prix Fixe menu is worth every penny and you get more than enough (both in quantity AND quality)."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["Best Indian Chinese in the city, by far!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is all shared so we get to order together and eat together."], "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": ["Unique apppetizers."], "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": ["Very affordable and excellent ambient!"], "output": "[['ambience general', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Prices too high for this cramped and unappealing resturant."], "output": "[['restaurant prices', '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 were less than impressed."], "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": ["Great food, great decor, great service."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I plan on stopping by next week as well."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But the pizza is way to expensive."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My husband and I thougt it would be great to go to the Jekyll and Hyde Pub for our anniversary, and to our surprise it was fantastic."], "output": "[['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 were very abrupt with me when I called and actually claimed the food was late because they were out of rice."], "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 going back."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["it is not consistent."], "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": ["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?"], "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": ["Although we were told 10-15 minutes and it was more like 45 minutes."], "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": ["First of all Dal Bukhara Rocks."], "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 wish I could like this place more, and I wish someone would retrain the staff."], "output": "[['restaurant general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Myagi is one of my favorite restaurants in the City; the place the negative reviews describe sound like they were somewhere else."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["After the 4th time i asked again and the waiter than said after our dinner."], "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": ["Had no flavor and the staff is rude and not attentive."], "output": "[['service general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was quick 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": ["They tell me they are going to cover the garden in glass for the winter, so i'm looking forward to going there on a snowy night to enjoy it."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["But who says Murray's is anything about 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": ["The fried dumplings are GREAT!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We asked for sides which the waiter than admitted that he forgot to put in that part of our order."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Helpful service and average price per dish $10."], "output": "[['service general', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I must say I am surprised by the bad reviews of the restaurant earlier in the year, though."], "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": ["If you go here, do it on his off-night."], "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": ["Waitstaff are very 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 pizza was great."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was great and tasty, but the sitting space was too small, I don't like being cramp in a corner."], "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": ["But $500 for a dinner for two that didn't include Wine?"], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is 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": ["Overall, excellent restaurant!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The dining room is quietly elegant with no music to shout over -- how refreshing!"], "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": ["If you don't like it, I don't know what to tell you."], "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 outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful."], "output": "[['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": ["To sum it up: Service varies from good to mediorce, depending on which waiter you get; generally it is just average Ok. "], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Always busy but fast moving."], "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 only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree."], "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 had the Thai style Fried Sea Bass...which was 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": ["Impressed..."], "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": ["Everything is always cooked to perfection, the service is excellent, the decor cool and understated."], "output": "[['food quality', 'positive'], ['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": ["A pleasant surprise."], "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": ["Excellent spot for holiday get togethers with co-workers or friends that you haven't seen in a while."], "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": ["If you don't mind pre-sliced low quality fish, unfriendly staff and a sushi chef that looks like he is miserable then this is your place."], "output": "[['food quality', 'negative'], ['service general', '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": ["The food was mediocre at best but it was the horrible service that made me vow never to go back."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We were 4 and got the family size penne a la vodka which was tremendously gigantic portion...a bucket of food literally."], "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": ["Appetizers took nearly an hour."], "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": ["Super YUMMY Pizza!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If you want something really different than try Jekyll and Hyde."], "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": ["Ravioli was good...but I have to say that I found everything a bit overpriced."], "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": ["and you can't beat the prices."], "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": ["never swaying, never a bad meal, never bad service..."], "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": ["I have lived in Japan for 7 years and the taste of the food and the feel of the restaurant is like being back in Japan."], "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": ["Seriously, this place kicks ass."], "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": ["Very good wine choices."], "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": ["It is terrific, as is the value."], "output": "[['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been to Rao's probably 15 times the past 3 years and it keeps getting better."], "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 last two times I ordered from here my food was soo spicy that  I could barely eat it, and the spice took away from the flavor of the dish."], "output": "[['food 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": ["Service was also very good."], "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 server was really cool and served us our food and drinks with a smile."], "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": ["While the ambiance and atmosphere were great, the food and service could have been a lot better."], "output": "[['ambience general', 'positive'], ['ambience general', 'positive'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Raymond the bartender rocks!"], "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 was well prepared and the service impecable."], "output": "[['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only thing the waiters don't do for you is wipe your chin when you leave."], "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": ["Our server was very helpful 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": ["But too far east!"], "output": "[['location 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": ["For a restaurant with such a good reputation and that is usually so packed, there was no reason for such a lack of intelligent customer service."], "output": "[['restaurant miscellaneous', '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": ["Have the iced tea."], "output": "[['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I would highly recommend it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service was slow had to wait to order and get food although not crowded."], "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": ["Do not get the Go Go Hamburgers, no matter what the reviews say."], "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": ["Love it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Steak Tartare is a great bet, they fix it for you at the table."], "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": ["A great choice at any cost and a great deal."], "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": ["The best pad thai i've ever had."], "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": ["After that she simply took our plates, walked away, came back another TWENTY minutes later with the bill and the chicken on it!!!!!!!!!!!!"], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Such a disappointment..."], "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 like the somosas, chai, and the chole, but the dhosas and dhal were kinda dissapointing."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['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": ["Drinks way over priced."], "output": "[['drinks 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 place is always very crowded and popular."], "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": ["We had Pam's special fried fish and it was amazing."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We even had a visit from the Manager who wanted to make sure we were enjoying ourselves."], "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 restaurant that doesn't try to do anything except serve great food with great service in a pleasant atmosphere."], "output": "[['food quality', 'positive'], ['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": ["Simply some good tasting Chinese food at incredible prices..."], "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": ["NO PIZZA 33 for me!"], "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": ["great hot dogs.."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is wonderful, tasty and filling, and the service is professional and friendly."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not the typical NYC gimmick theme 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": ["Right off the L in Brooklyn this is a nice cozy place with good pizza."], "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": ["So I decide to report back to the waitress because it was completely inedible."], "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": ["Definitely a neighborhood favorite."], "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": ["Creative, consistent, fresh."], "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": ["Reliable, Fresh Sushi"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["its just a fun place to go, not a five star restaraunt."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The decor however seems to be the distraction so you won't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME!!!!"], "output": "[['ambience general', 'neutral'], ['food quality', 'negative'], ['food prices', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The wine list is also really nice."], "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": ["For a Fabulous Wedding!"], "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": ["Dessert: pure disaster."], "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": ["With so many poor experiences to be had in the theater district, is truly an excellent find!"], "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": ["keep up the good work."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food they serve is not comforting, not appetizing and uncooked."], "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": ["After all that, they complained to me about the small tip."], "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 environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts."], "output": "[['ambience general', 'neutral'], ['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Loved it"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Very pleased"], "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 tiny restaurant is as cozy as it gets, with that certain Parisian flair."], "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 quaint and romantic trattoria is at the top of my Manhattan restaurant list."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The jukebox plays everything from Italian Opera to The Strokes."], "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": ["Wish NY had more of these kind of places: intimate, superb food, homey, top notch all the way around, certainly worth the wait."], "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": ["The owner and staff are all Japanese as well and that adds to the entire ambiance."], "output": "[['restaurant miscellaneous', 'positive'], ['restaurant miscellaneous', '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": ["Good spreads, great beverage selections and bagels really tasty."], "output": "[['food quality', 'positive'], ['drinks style_options', '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": ["To me it exemplifies Soho, cute, artsy, interesting."], "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": ["Warm and friendly in the winter and terrific outdoor seating in the warmer months."], "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 place has the best Chinese style BBQ ribs in the city."], "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": ["This place is pricey, and yes, the food is worth it; but the service makes you feel like you should be paying a quater of the price."], "output": "[['restaurant prices', 'negative'], ['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 space kind of feels like an Alice in Wonderland setting, without it trying to be that."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The price very reasonable."], "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": ["On a hot day it was fabulous to stop in and enjoy lunch."], "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 recently decided to try this location, and to our delight, they have outdoor seating, perfect since I had my yorkie with me."], "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": ["Worth visiting the 1st Ave spot because it is the original store."], "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": ["Volare virgins or weekly regulars, everyone gets treated the same and you can't ask for more than that when the service is this 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": ["Not cheap but very yummy."], "output": "[['food prices', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["She then put the check down without asking if we were done, and came to check on the bill every two minutes, even though we were one of three occupied tables."], "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": ["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!"], "output": "[['restaurant 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": ["Don't get me started on the margaritas, either."], "output": "[['drinks 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": ["Located at the end of a magnificent block."], "output": "[['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": ["short and sweet \u2013 seating is great:it's romantic,cozy and private."], "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": ["Even my Indian friend couldn't believe how good and tasty everything was."], "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": ["Bukhara Grill, the tagline says it all.. \"INDIAN SPICE RAVE\""], "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 paid and left because we didn't feel like arguing any more."], "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 wish I COULD be refunded!"], "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": ["Please be aware that it's CASH or AMEX only!"], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great place, great value."], "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 was one of the people that went for this horrible 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": ["The restaurant has a Family feel, not least with regard to the portions which are enormous; the veal alone could have single-handedly solved third world famine."], "output": "[['ambience general', '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": ["The service was extremely fast and attentive(thanks to the service button on your table) but I barely understood 1 word when the waiter took our order."], "output": "[['service general', 'positive'], ['service general', '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": ["skip dessert."], "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": ["Excellent sashimi, and the millennium roll is beyond delicious."], "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'd be horrified if my staff were turning away customers so early and so rudely!"], "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 boths are not as small as some of the reviews make them out to look they're perfect for 2 people."], "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 nakgi-bokum was horrible."], "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 entree was also 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": ["It's a nice place to relax and have conversation."], "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": ["Restaurant with a view"], "output": "[['location 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": ["This tiny Williamsburg spot is always pleasantly surprising."], "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 have been to this place many times, and always have great food, wine, and service."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Overall, decent food at a good price, with friendly people."], "output": "[['food quality', 'neutral'], ['food 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": ["Ive asked a cart attendant for a lotus leaf wrapped rice and she replied back rice and just walked away."], "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": ["Also, specify if you like your food spicy- its rather bland if you don't."], "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 waitress was not attentive at all."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We'd 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": ["My six year old loved it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["great for a romantic evening, or a fun evening with friends..."], "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": ["I am so coming back here again, as much as I can."], "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": ["My father had the flank steak which was very good, and my mother had the swordfish."], "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": ["On the way out, we heard of other guests complaining about similar issues."], "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": ["Excellent food for great prices"], "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": ["Less than three minutes passed before I found myself doubled over the toilet."], "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 have never left a restaurant feeling as if i was abused, and wasted my hard earned money."], "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": ["I got hair in my food 2 times of then !"], "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": ["We were seated outside and the waiter spilled red wine and hot tea on myself and my date."], "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": ["Most of the booths allow you to sit next to eachother without looking like 'that' couple."], "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 place is always packed."], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["go here for the drinks!"], "output": "[['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I had a grat time at Jekyll and Hyde!"], "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": ["Delicious crab cakes too."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The duck confit is always amazing and the foie gras terrine with figs was out of this world."], "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": ["Had an awful experience at Casa la Femme on a Saturday dinner."], "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": ["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."], "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": ["For me dishes a little oily, but overall dining experience good."], "output": "[['food quality', '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": ["Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat."], "output": "[['service 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": ["After really enjoying ourselves at the bar we sat down at a table and had dinner."], "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 liked it so much, that we will always make it a point to dine here when we visit New York."], "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": ["All in all, I would return - as it was a beautiful restaurant - but I hope the staff pays more attention to the little details in the future."], "output": "[['restaurant general', 'positive'], ['ambience general', '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 pesto pizza was excellent, thin-crust pizza with a nice amount of spicy Italian cheese that I'd never heard of before."], "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 is one of my favorite spot, very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized ."], "output": "[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', '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": ["This place survives on reputation alone."], "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 service was attentive, yet discreet."], "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": ["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 prices', 'neutral'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Overpriced and not tasty "], "output": "[['food prices', '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": ["But $1 for each small piece???"], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I cannot imagine a friendlier staff working in a restaurant."], "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 got an excellent piece of cheesecake and we had several other nice pastries."], "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": ["Surprised that a place of this caliber would advertise it as Kobe."], "output": "[['restaurant miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I recently tried Suan and I thought that it was great."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["wont come back again for sure!"], "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": ["Guacamole+shrimp appetizer was really great, we both had the filet, very good, didn't much like the frites that came with, but the filet was so good, neither of us cared."], "output": "[['food quality', 'positive'], ['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": ["Ess-A-Bagel (either by Sty-town or midtown) is by far the best bagel 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 would definitely recommend SEA if you like thai cuisine!"], "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 staff has been nice, but they seemed really stressed and the unisex bathroom needs to be cleaned more often."], "output": "[['service general', 'positive'], ['service 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 will go back every time we are 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": ["While it is understandable that every place is indeed different, there was not a need to be uncourteous to customers and downright rude."], "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": ["Haru on Park S is simply disgusting."], "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": ["While finishing our meals which included a high-end bottle of wine, our son's fiance joined us for a glass of wine and dessert."], "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": ["Despite a slightly limited menu, everything prepared is done to perfection, ultra fresh and a work of food art."], "output": "[['food style_options', 'negative'], ['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": ["He served me an Uni Hand roll, which I never had before, and let me tell you...IT WAS HEAVEN!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is good, I can't lie."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They all know you."], "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": ["MMMMMMMMMmmmmmm so 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": ["Over the years the host, Vittorio, and his crew, have always treated me as family--although with all the business this not-so-little gem does, it amazing he's even able to remember a consistent but not-so-frequent visitor."], "output": "[['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": ["Service- friendly 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": ["Stepping into Casa La Femme last night was a true experience unlike any other in New York!"], "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": ["If you've ever been along the river in Weehawken you have an idea of the top of view the chart house has to offer."], "output": "[['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": ["Again, no apology, no is there anything else I can get you, no can I get you a drink to make up for it, nothing!!!!"], "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 only fallback on this restaurant is the prices."], "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 pizza is yummy and I like the atmoshpere."], "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": ["I felt as though I were eating in Paris."], "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": ["By the time we left our wallets were empy and so were our stomachs AND we missed the show we were supposed to see following our dinner, which would have been acceptable if we got to enjoy the experience of good food and belly dancers!"], "output": "[['food quality', 'negative'], ['restaurant prices', '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": ["it's a perfect place to have a amanzing indian 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": ["I loved 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": ["Great Hot Dogs!"], "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 would not expect this for a $55 dinner."], "output": "[['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": ["This is one of my favorite restaurants and it is not to be missed."], "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 bar drinks were Eh, ok to say the least."], "output": "[['drinks 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 picked the Grilled Black Cod as my entree, which I absolutely devoured while someone commented that the Grilled Salmon dish was better."], "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 just don't understand all the hype..."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The kitchen however, is almost always slow."], "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 first time the sushi was outstanding, the second time it was a little bland."], "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": ["Not much of a selection of bottled beer either, we went with Brahma. "], "output": "[['drinks 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": ["not sure why this restaurant would be rated that highly."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious, if I must recommend a dish it must be the pumkin tortelini."], "output": "[['drinks style_options', '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": ["THe perfect spot."], "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": ["cirspy crust margherita pizza"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Never fails to please."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is delicious - from the specials to the regular menu-fare, the dishes are never a disappointment."], "output": "[['food quality', 'positive'], ['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": ["the food is decent."], "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": ["Inside is a little cramped, but to be expected."], "output": "[['ambience 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": ["Lexicographers take note: a new and fascinating definition of rudeness is alive and flourishing right here in Brooklyn."], "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 the best hot dogs I have ever eaten."], "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": ["Maitre-D-\"Eat and get out\""], "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": ["They charge different prices all the time."], "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 waitress, seems to be more concerned of looking good than actually waitressing."], "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": ["Moules were excellent, lobster ravioli was VERY salty!"], "output": "[['food quality', 'positive'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The chicken pot pie is excpetiona, the cheeseburger huge and delictable, and the service professional wan warm."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["I come from a family of pizzeria owners, and I'm almost ashamed to say that the pizza in Fornino's blows my families receipies away."], "output": "[['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 high prices you're going to pay is for the view not for the food."], "output": "[['location general', 'neutral'], ['food quality', '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": ["Everything we had was good or ok....but definitely nothing great."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Delivery is fast too."], "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": ["Won't or Can't is not in the service directory."], "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 setting is casual and romantic."], "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": ["Also, they do not take credit card so come with cash!"], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Save yourself the time and trouble and skip this one!"], "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": ["Going to Bark is always worth the train ride, and will make your tongue and belly very happy!"], "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 took one look at the chicken and I was appalled."], "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": ["How this place survives the competitive west village market in this economy, or any other for that matter, is beyond me."], "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": ["This restaurant was way overhyped."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The pizza is delicious and the proprietor is one of the nicest in NYC."], "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": ["Service is not what you are coming here for..."], "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": ["This was a great surprise."], "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 place is really trendi but they have forgotten about the most important part of a  restaurant, the food."], "output": "[['food quality', 'negative'], ['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": ["Love Al Di La"], "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 such a lovely, peaceful place to eat outside."], "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": ["delicious simple food in nice outdoor atmosphere."], "output": "[['food quality', 'positive'], ['food style_options', '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 lava cake dessert was incredible and I recommend it."], "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 thanked my friend who recommended me this restaurant and will certainly recommend it to others."], "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 mussles were the fishiest things I've ever tasted, the seabass was bland, the goat cheese salad was missing the goat cheese, the penne w/ chicken had bones in it... It was disgusting."], "output": "[['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The fish was really,really fresh."], "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 really good pizza."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I got the $10 10-piece dim sum combo, every bite of which was great."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is an amazing place to try some roti rolls."], "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": ["For instance, plates were just dumped on the table, I was handed the wine list upside down, etc.... "], "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 Reuben sandwich 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": ["A great place to meet up for some food and drinks...  "], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The fish was adequate, but inexpertly sliced."], "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": ["You can't go wrong here."], "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": ["fresh restaurant was amazing........ food was delicious and of course fresh."], "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": ["The ambience is pretty and nice for conversation, so a casual lunch here would probably be best."], "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": ["Not a very fancy place but very good Chinese style Indian food."], "output": "[['ambience general', 'neutral'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We started off with a delightful sashimi amuse bouche."], "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": ["For starters they delivered us someone else's order."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["It is also extremely well priced."], "output": "[['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": ["too large for just two people but nothing was left."], "output": "[['food style_options', 'neutral'], ['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 had Lobster Bisque it has 2 oz. of Maine Lobster in it."], "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": ["An awesome organic dog, and a conscious eco friendly establishment."], "output": "[['food quality', '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": ["The hostess was very pleasant."], "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": ["Big Wong gets big Ups for a fine establishment."], "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 sake\u2019s complimented the courses very well and is successfully easing me into the sake world."], "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": ["Gross food \u2013 Wow-"], "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 defiantly come back here again as one of my top choices."], "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": ["Most of the servers are very attentive, friendly and quite attractive."], "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": ["It is one the nicest outdoor restaurants I have ever seen in NY--I am from Italy and this place rivals the ones in my country."], "output": "[['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": ["Try the lobster teriyaki and the rose special roll."], "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 was almost amused by the fact that she was turning away customers at 9pm on a Friday night because she \"had a BBQ to go to\" that night - WTF??"], "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": ["Yakitori (bbq meats) is tasty too."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["What a great 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": ["We are very particular about sushi and were both please with every choice which included: ceviche mix (special), crab dumplings, assorted sashimi, sushi and rolls, two types of sake, and the banana tempura."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['drinks 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": ["It was well worth the wait."], "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": ["Rather than preparing vegetarian dish, the chef presented me with a plate of steamed vegetables (minus sauce, seasoning, or any form or aesthetic presentation)."], "output": "[['service 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": ["As to my comment about the food, no apology or acknowledgment was made."], "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": ["Not sure where the previous reviewer, lonk, dined, but Saul is in a great neighborhood and has great food!"], "output": "[['location 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": ["You cannot go wrong at the Red Eye Grill."], "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 waited at the bar and had martinis that were just right."], "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": ["Try the Pad Thai, or sample anything on the appetizer menu...they're all delicious."], "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": ["Average to good Thai food, but terrible delivery."], "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": ["At this point, the waitress comes over and asks us if everything was okay, I was literally so shocked that I was speechless and didn't say anything, and guess what, the waitress WALKED away."], "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 spinach is fresh, definately not frozen..."], "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": ["Best Pastrami I ever had and great portion without being ridiculous."], "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": ["Can't argue about that, but they are clearly over priced."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We have gone for dinner only a few times but the same great quality and service is given."], "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": ["Just go to Yamato and order the Red Dragon Roll."], "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": ["Service was prompt and courteous."], "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": ["Great wine selection, Gigondas is worth the price, and the house champagne is a great value."], "output": "[['drinks style_options', 'positive'], ['drinks quality', '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": ["The sandwiches are dry, tasteless and way overpriced."], "output": "[['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": ["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."], "output": "[['restaurant prices', 'negative'], ['restaurant general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Food was OK."], "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": ["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": ["You would think they would make up for it with service, sadly, no."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food 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": ["Servers are all different, Greg is my favorite."], "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": ["My daughter's wedding reception at Water's Edge received the highest compliments from our guests."], "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": ["Hands down the best pizza on the planet."], "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": ["Judging from previous posts this used to be a good place, but not any longer."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The place is small and intimate and you may feel a little crowded, but the service is excellent and it's great for friends out, a romantic date, or a special occassion."], "output": "[['service general', 'positive'], ['ambience general', 'negative'], ['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": ["Cute and decorative."], "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 drinks are amazing and half off till 8pm."], "output": "[['drinks quality', '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": ["The in-house lady DJ on Saturday nights has outrageously good taste in music, and moreover, takes requests."], "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 place has got to be the best japanese restaurant in the new york 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": ["The omlette for brunch is great..."], "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 tasted like the bartender had forgotten to add the tequila."], "output": "[['drinks quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I also ordered the Change Mojito, which was out of this world."], "output": "[['drinks quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I generally like 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 paid just about $60 for a good meal, though :)"], "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": ["It's just average, just shredded, no seasoning on it."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The seats are uncomfortable if you are sitting against the wall on wooden benches."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["There is a lot of variety even for people who eat vegetarian like me."], "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": ["Well...they can run but they can't hide."], "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": ["Though it's been crowded most times I've gone here, Bark always delivers on their food."], "output": "[['food quality', 'positive'], ['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is great and they have a good selecion of wines at reasonable prices."], "output": "[['food quality', 'positive'], ['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": ["This little place definitely exceeded my expectations and you sure get a lot of food for your money."], "output": "[['food style_options', 'positive'], ['restaurant general', '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": ["Awsome Pizza especially the Margheritta slice."], "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": ["In an area sadly lacking in decent Thai food, this is one of the best spots."], "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": ["please don't fool us."], "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": ["They were such a rip-off ($8.95 for four small meat patties in steamed buns) and not worth trying."], "output": "[['food quality', 'negative'], ['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": ["It was wonderful."], "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": ["Love this place, every time we are in the city this is one of the places we always go."], "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 were not dissappointed in the least bit by this little gem."], "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": ["Murray won't do it."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was absolutely amazing!!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Decor needs to be upgraded but the food is amazing!"], "output": "[['ambience 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": ["Luckily we saved room for the BBQ Salmon, Sea Bass and Crispy Duck."], "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": ["As a retired hipster, I can say with some degree of certainty that for the last year Lucky Strike has been the best laid-back late night in the city."], "output": "[['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 was divine melts in your mouth."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great neighborhood joint."], "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": ["oh speaking of bathroom , the mens bathroom was disgusting."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The entertainment was great they have shows that go on through out the dinner."], "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": ["Pizza was a little 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": ["Service was slow, but the people were friendly."], "output": "[['service general', 'negative'], ['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 absolutely Loved this place."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["THE BIG COMPLAINT: NO TOASTING AVAILABLE."], "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": ["Try green curry with vegetables."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We had a very nice time."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Please take my advice, go and try 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 was very disappointed with this restaurant."], "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": ["Great friendly service, Fast seating, Fast Delivery, Excellent sushi."], "output": "[['service general', 'positive'], ['service 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 highly recommend Cafe St. Bart's for their food, the ambience and wonderful service."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["those rolls were big, but not good and sashimi wasn't fresh."], "output": "[['food style_options', 'neutral'], ['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": ["Food was amazing - I love Indian food and eat it quite regularly, but I can say this is one of the best I've had."], "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'll be back for sure."], "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 lobster sandwich is good and the spaghetti with Scallops and Shrimp is great."], "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": ["Quick and friendly service."], "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": ["Delicate spices, onions, eggs and a kick-ass roti."], "output": "[['food quality', 'positive'], ['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": ["Took my mom for Mother's Day, and the maitre d' was pretty rude."], "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": ["My husbands was perfect, my was well done and dry."], "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": ["I do not think dinner in Manhattan should cost $400.00 where I am not swept off my feet."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the first place I've been that a runner remembers my order... hope he likes his job because I have half a mind to steal him for my restaurant."], "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": ["When I lived upstate for a while I would buy freeze the bagels and they would still be better than any else."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We all felt it was worth it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food here does a great service to the name (Cantonese that is...)."], "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 drinks are great, especially when made by Raymond."], "output": "[['drinks quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Our teenage kids love it, too."], "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": ["Favorite Sushi in NYC"], "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 freshest, best variety, and the fastest delivery."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If celebrities make you sweat, then your in for a ride, but if your like most around these parts then you'll just yawn and wonder whats with all the hype."], "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": ["It's definately not a place to go if you want to impress someone."], "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": ["Food was just average...if they lowered the prices just a bit, it would be a bigger draw."], "output": "[['food quality', 'neutral'], ['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": ["but when we looked at the menu, there weren't a lot of choices, most of them were dumplings in the appetizer section."], "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": ["The wait staff is pleasant, fun, and for the most part gorgeous (in the wonderful aesthetic beautification way, not in that she's-way-cuter-than-me-that-b@#$* way)."], "output": "[['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 really liked 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 will be 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": ["The wife had the risotto which was amazing."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["What you are paying for is the environment and the name."], "output": "[['ambience general', 'neutral'], ['restaurant miscellaneous', 'neutral'], ['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": ["And the Tom Kha soup was pathetic."], "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": ["Bagels are ok, but be sure not to make any special requests!"], "output": "[['food quality', 'neutral'], ['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 In ALL of 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": ["Only drawback - they won't toast your bagel, and they don't make eggs for the bagel."], "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": ["Everything I had was good, and I'm a eater."], "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 for one time special occasion."], "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 friends settled for rice dishes, but we came back the following day to try the dim sum, which was good...not outstanding, but good."], "output": "[['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": ["Love their drink menu."], "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 wine list is extensive and impressive."], "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 waitress was very patient with us and the food is phenomenal!"], "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": ["Cozy romantic atomosphere with only around 15 tables at most."], "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 expected quite a bit more from such an expensive menu."], "output": "[['food prices', '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": ["We did arrive late for our reservation so I can not complain too much about the wait for a table."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["even the wine by the glass was good."], "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 hot dogs are top notch, and they're Slamwich is amazing!"], "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": ["Check this place out!"], "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": ["Keep up the good work guys!"], "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": ["You are not eating haut cuisine with subtle hints of whatever but: Cassuolet, Steake Fritte, Tripe Stew, etc; simple stuff."], "output": "[['food style_options', '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 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 highly recommend to anyone to give this place a try."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have to say I have never had a disapointing meal here."], "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 the first place we ate on our first trip to New York, and it will be the last place we stop as we head out of town on our next trip to New York."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Highly recommend it!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["whoever the jazz duo was, they were on POINT."], "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 like Cafe Noir dont get me wrong, it is jsut that the people who work there are evil and incompetent!!"], "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": ["Everything about this restaurant was special."], "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 so romantic."], "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 whole set up is truly unprofessional and I wish Cafe Noir would get some good staff, because despite the current one this is a great place."], "output": "[['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": ["The price is reasonable although the service is poor."], "output": "[['restaurant prices', '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": ["At first glance this place seems a bit pricey for a hot dog joint, but at Bark you don't just get your average hot dog."], "output": "[['restaurant prices', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can."], "output": "[['ambience general', 'negative'], ['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": ["They have it all -- great price, food, and service."], "output": "[['restaurant general', 'positive'], ['restaurant prices', '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": ["This guy refused to seat her and she left, followed shortly by the four of us, but not before I told him that in my 40 years of world travel, including Paris, that I had never seen such a display of bad behavior by a frontman in a restaurant."], "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": ["Remind me of 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": ["MMmmm... it was 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": ["Went there with my wife and we had to wait for a table even though you could see there many that were empty with not reservation sigh on them."], "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": ["But if you're prepared to spend some $ and remember to ask if something they offer is complimentary, then this is the place to go for Indian food"], "output": "[['food quality', '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": ["10"], "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 EAT HERE EVERY DAY OF THE WEEK REALLY LOL LOVE 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 am reluctant to write because I would not want my jem of a pizza place to become overcrowded."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The counter service is bad."], "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 know, you were too busy showing off your vintage tee shirt and looking bored, but my agenda is i'm here to eat and enjoy the company of friends, seeking a pleasant experience."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was ok and fair nothing to go crazy."], "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 is good, especially their more basic dishes, and the drinks are delicious."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['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": ["Price and quality of fish alone will keep us from making a return visit."], "output": "[['food prices', 'negative'], ['food 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": ["Save your money and your time and go somewhere else."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The dishes came out around 5 minutes apart."], "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 mussels were fantastic and so was the dessert...definitely going to be back very soon."], "output": "[['food quality', '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": ["I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna."], "output": "[['service 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": ["Subtle food and service"], "output": "[['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The lox is always fresh too."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["As always we had a great glass of wine while we waited."], "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": ["It is set far from the small street it's on, and there is no traffic noise."], "output": "[['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": ["Furthermore, the rice had no seasoning, so the sushi was bland and disgusting."], "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": ["More Williamsburg Garbage"], "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've never had bad service and the fish is fresh and 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": ["Their bagels are fine, but they are a little overcooked, and not really a 'special' bagel experience."], "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": ["In about 12 minutes, the thing is gone."], "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 had never had Edamame pureed before but I thought it was innovative and tasty (could've used a bit more salt)."], "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": ["Prices are fair across the board for both food and bev."], "output": "[['food prices', 'positive'], ['drinks prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Here the hot dog is elevated to the level of a real entree with numerous variations available."], "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 atmosphere was great."], "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": ["One of my favorite places in Brooklyn. "], "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'd highly recommend it for a special occasion -- it provides and intimate setting and nice service."], "output": "[['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": ["This place is not inviting and the food is totally weird."], "output": "[['ambience general', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Yamato is an excellent place to go if youre not into sashimi, or if you have friends who doesnt like sushi much."], "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 chow fun and chow see was really bland and oily."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great survice"], "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": ["Planet Thai is great!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Go there to relax and feel like your somewhere else."], "output": "[['ambience general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We were planning to get dessert but the waitress basically through the bill at us before we had a chance to order."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Everyone was smiling so that made me feel welcome."], "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": ["Everything was wonderful; food, drinks, staff, mileau."], "output": "[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['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": ["In the evening, this place attracted a well dressed, with it, NY crowd."], "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": ["Have been several times and it never dissapoints."], "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": ["Salads are a delicious way to begin the meal."], "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 may be a bit packed on weekends, but the vibe is good and it is the best French food you will find in the area."], "output": "[['ambience general', 'neutral'], ['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": ["My wife had barely touched that mess of a dish."], "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": ["Still we keep going back :)"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is amazing, rich pastas and fresh doughy pizza."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["SO GOOD"], "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 a fun restaurant to go to."], "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 staff offers impeccable service."], "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": ["(Besides that there should be more restaurants like it around 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": ["Highly recommended to 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 food is so cheap and the waiters are nice."], "output": "[['food 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": ["The food is great."], "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 happen to have a policy that goes along with a little bit of self-respect, which includes not letting a waiter intimidate me, i.e. make me feel bad asking for trivialities like water, or the check."], "output": "[['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": ["Go there once and oh yes...you will go back...you will..."], "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 waitstaffs are nice though."], "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": ["Went here last night - nice decor, good service, but the food was surprisingly 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": ["Good creative rolls!"], "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": ["Our experience did not ever get any better."], "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": ["Probably would not go again..."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["good music, great food, speedy service affordable prices."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service 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": ["You should pass on the calamari."], "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": ["We were drawn into the belly dancing show that captivated the crowd."], "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 worst excuse for Japanese food I've ever encountered."], "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": ["$6 and there is much tasty food, all of it fresh and continually refilled."], "output": "[['food style_options', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Great food and the prices are very reasonable."], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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!)."], "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": ["I will go back to Suan 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": ["Each time we've been, the front of house staff (not the waiters - they're fantastic - but the people who greet and seat you) has been so hideous to us that were it not for the exceptional fish dishes I would never return. "], "output": "[['service general', 'positive'], ['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": ["Suan is a great place that I often take my friends (classmates) too."], "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 staff."], "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 you go, try the marinara/arrabiatta sauce, the mozzarella en Carozza is mmmmmmmm..... everything is just delicious."], "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": ["I wanted to go there to see if it was worth it and sadly, curiousity got the best of me and I paid dearly for it."], "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 cold appetizer dishes taste like the way I remember them to taste when I was growing up in Taiwan."], "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 waiter was 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": ["Be sure to try the seasonal, and always delicious, specials."], "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 didn't complain, I liked the atmosphere so much."], "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 Yellowtail was particularly 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": ["My roommate and I LOVE 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": ["We will be 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": ["Even if the food wasn't this good, the garden is a great place to sit outside and relax."], "output": "[['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": ["I ate here a week ago and found most dishes average at best and too expensive."], "output": "[['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": ["Easily the worst stir-fried squid I've ever tasted."], "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": ["Get the tuna of gari."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My Girlfriend and I stumbled onto this hopping place the other night and had a great time!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This is the perfect spot for meeting friends, having lunch, dinner, pre-theatre or after-theatre drinks!"], "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": ["Get the pepperoni - YUM - and a family style salad."], "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": ["There is something about their atmosphere that makes me come back nearly every week."], "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": ["There are no negatives to speak of."], "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": ["Been there, done that, and New York, it's not that big a deal."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is flavorful, plentiful and reasonably priced."], "output": "[['food quality', 'positive'], ['food style_options', '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": ["The location and ambience is Ok but the food is what makes up for it."], "output": "[['location general', 'neutral'], ['ambience general', 'neutral'], ['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": ["Vanison was good but not amazing."], "output": "[['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I've lived in NY for 5 years and this place has it 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": ["I highly recommend the Sophia pizza."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Food is usually very good, though ocasionally I wondered about freshmess of raw vegatables in side orders."], "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": ["She just nodded and walked off."], "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": ["Great vibe, lots of people."], "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": ["A little overpriced but worth it once you take a bite."], "output": "[['food prices', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The restaurant is cute but not upscale."], "output": "[['ambience general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have known about this secret for the last 13 years, Emilio(the Godfather) has continued to serve food and wine for the gods at mortal prices."], "output": "[['food quality', 'positive'], ['drinks quality', 'positive'], ['food prices', 'positive'], ['drinks prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Cypriot restaurant has a lot going for it."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Fresh, mind blowing flavors."], "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": ["Everything on the menu is great. "], "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": ["However, if you want great food at a great price and don't mind the decor, you can't beat this place."], "output": "[['food quality', 'positive'], ['ambience general', 'neutral'], ['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": ["Over all it was a very nice romantic place ."], "output": "[['restaurant 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": ["Wonderful at holiday time."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["From the spectacular caviar to the hospitable waitstaff, I felt like royalty and enjoyed every second of it."], "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": ["Great Atmosphere"], "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 tables are crammed way too close, the menu is typical of any Italian restaurant, and the wine list is simply overpriced."], "output": "[['ambience general', 'negative'], ['food style_options', 'neutral'], ['drinks 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": ["Great Indian 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": ["The food looked very appetizing and delicious since it came on a variety of fancy plates."], "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": ["A few tips: skip the turnip cake, roast pork buns and egg custards."], "output": "[['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["they were dry and disgusting, i didn't even finish my first piece."], "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": ["Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos."], "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": ["I lOVE THIS PLACE!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food now is inconsistent."], "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": ["highly recommended."], "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 must give it Yon out of Yon stars!"], "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 Seafood Dynamite is also otherworldly."], "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": ["fine dining restaurant quality."], "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 totally overpriced- fish and chips was about $15.... "], "output": "[['food prices', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The three of us standing in front of her should have been an indication of how many of us there were."], "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 pizza is overpriced and soggy."], "output": "[['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": ["And I hate to say this but I doubt I'll ever go back. "], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The 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."], "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": ["The side dishes were passable, and I did get a refill upon request."], "output": "[['food quality', 'neutral'], ['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": ["So what you really end up paying for is the restaurant not the food."], "output": "[['restaurant prices', 'negative'], ['ambience general', 'neutral'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["the only things u could really taste are the very salty soy sauce (even its low sodium), the vinegar-soaked rice, and the scallion on top of the fish. "], "output": "[['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": ["Fabulous decor - makes you feel like you're in a trendy Manhattan restaurant, very very good food, cheaply-priced, generally friendly staff, and if you're a Manhattanite, or spend most of your time in Manhattan, Rice Avenue will make you feel at home.....very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele.....all on Roosevelt Avenue!"], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['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": ["The bibimbap was average, but the stone bowl wasn't even close to sizzling."], "output": "[['food quality', 'neutral'], ['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": ["Probably would not go back here."], "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": ["Chicken teriyaki had tomato or pimentos on top??"], "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": ["Great food, good size menu, great service and an unpretensious setting."], "output": "[['food quality', 'positive'], ['food style_options', 'positive'], ['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": ["This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time."], "output": "[['ambience 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": ["Too bad I had paid an extra $2 for the stone bowl."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The quantity is also very good, you will come out satisfied."], "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": ["Oh, and there's hookah."], "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 tuna and wasabe potatoes are excellent."], "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 bagel was huge."], "output": "[['food style_options', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The service is good and the resturant is clean."], "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": ["Excellent dumplings served amid clean, chic decor."], "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": ["Also, don't plan on asking for your favorite roll, if it's not on the menu, you can't have it."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Quite simply it's like stepping out of Manhattan and into a haven of tranquility."], "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": ["Excellent atmosphere, delicious dishes good and friendly service."], "output": "[['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Service ok but unfriendly,filthy bathroom."], "output": "[['service 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": ["And amazingly cheap."], "output": "[['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": ["It was wonderful."], "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/we will never go back to this place again."], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I cannot imagine you not rushing out to eat there."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["i love their chicken pasta cant remember the name but is sooo 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": ["It is obvious that no one in the restaurant has any idea about or experience with Japanese cuisine."], "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 place's decor and hidden bathrooms made for a good laugh."], "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": ["The only thing that strikes you is the decor?(not very pleasant)."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The place is a lot of fun."], "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": ["It hits the spot every time"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I was shocked that my friends wanted to stay after the waitress said, \"can I help you\" and \"how many are in your party.\""], "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": ["Pizza here is consistently 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": ["Cute place, nice wait staff but would never go there again."], "output": "[['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["This place blew me away...by far my new favorite restaurant on the uppereast side."], "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 filet mignon dish was superb!"], "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 is simply amazing."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Personal pans are the perfect size for those hungry nights."], "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 have never had cheescake like this."], "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 doesn't look appetizing as it's covered in squid ink and it turns your lips and teeth black, but the taste was phenomenal."], "output": "[['food style_options', '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 food was lousy - too sweet or too salty and the portions tiny."], "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": ["Mazing interior."], "output": "[['ambience general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["So, I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again, but the spinach was so undercooked that I just could not bite through it."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Salads were fantastic."], "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": ["Hurley's is like Cheers where everyone knows your name and they are ACTUALLY glad you came."], "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 you are the type of person who likes being scared and entertained, this is a great place to go and eat."], "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": ["Good drink."], "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": ["Delivery can be spot on or lacking depending on the weather and the day of the week."], "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": ["Will comeback for sure, wish they have it here in LA.."], "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 staff is no nonsense."], "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": ["Downtown Dinner 2002 - Prixe fix: Appetizers were ok, waiter gave me poor suggestion..try the potato stuff kanish best one."], "output": "[['food quality', 'neutral'], ['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": ["Go here."], "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": ["A little pricey but it really hits the spot on a Sunday morning!"], "output": "[['restaurant prices', 'negative'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["You will find yourself returning quite often."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Try the sea bass."], "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 prices were CHEAP compared to the quality of service and food."], "output": "[['restaurant prices', '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": ["this place had ALL the trimmings and i mean all."], "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": ["Pizza is terrific, as is homemade pasta."], "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": ["Love the scene first off- the place has a character and nice light to it..very fortunate, location wise."], "output": "[['ambience general', 'positive'], ['ambience general', '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": ["The exotic food is beautifully presented and is a delight in delicious combinations."], "output": "[['food style_options', '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 food and service were fine, however the maitre-D was incredibly unwelcoming and arrogant."], "output": "[['food quality', 'positive'], ['service general', 'positive'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm not even going to bother to describe it; it speaks for itself."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["my favorite place lol"], "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 is excellent, the decor is great, and the food is delicious and comes in large portions."], "output": "[['service general', 'positive'], ['ambience general', 'positive'], ['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": ["However, our main course was 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": ["it's 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": ["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": ["When we sat, we got great and fast service."], "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 is yummy, especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries."], "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": ["The drinks are always welll made and wine selection is fairly priced."], "output": "[['drinks quality', '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": ["Some Pineapple covered in a glaze of some kind and some pear tart thing Not impressive at all."], "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": ["The menu is very limited - i think we counted 4 or 5 entrees."], "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": ["Just want to warn you all - don't waste your time and money."], "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": ["Food is great and inexpensive."], "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": ["The place is small and cramped but the food is fantastic."], "output": "[['ambience 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": ["One of the best, if not THE best, restaurants in Park Slope (and NY in general)"], "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": ["Give it a try and enjoy."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I attended a holiday dinner at the restaurant, and the food was majorly disappointing."], "output": "[['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food arrived 20 minutes after I called, cold and soggy."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not impressed with the 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": ["I couldn't ignore the fact that she reach over the plate of one of my friends, who was in mid bite, to clear the table."], "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": ["If you like spicy food get the chicken vindaloo."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They're rude at times, and not very friendly."], "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": ["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."], "output": "[['location general', 'neutral'], ['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": ["Mistakes happen, but they are usually accompanied by an apology, perhaps even a glass of wine...but not the grunt that we received from the Al Di La staff."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We love the food, drinks, and atmosphere!"], "output": "[['food quality', 'positive'], ['drinks 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": ["Good for dates or with 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": ["Great find 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": ["A little crowded but they move that line really fast!"], "output": "[['service general', 'positive'], ['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 food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you don't like."], "output": "[['food prices', 'negative'], ['food quality', 'positive'], ['food 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": ["During the course of the past 3 months, the chef and staff changed and it was not for the better."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My friend devoured her chicken and mashed potatos."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We never ate because by close to 2 in the monring we were not served and were too upset ad tired to start eating."], "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": ["but the service was a bit slow."], "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": ["Highly recommended!"], "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, waiters try to push more food on you, like suggest things as if they are complimentary when they actually 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": ["Everyone must come here at least once."], "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 restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty."], "output": "[['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": ["With so many good restaurants on the UWS, I don't need overpriced food, absurdly arrogant wait-staff who don't recognize they work at a glorified diner, clumsy service, and management that doesn't care."], "output": "[['food prices', 'negative'], ['service general', 'negative'], ['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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."], "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": ["supercilious scorn is in."], "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": ["My husband and I have been sold on this from the first 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": ["DO not try unless you're just going there to hang out like the rest of the hipsters who apparently have no sense of taste."], "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": ["But the best part about LS is the late night atmosphere, delightfully free of the BTs."], "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 dinner was ok, nothing I would have again."], "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": ["Always a nice crowd, but never loud."], "output": "[['restaurant miscellaneous', '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 food is decent at best, and the ambience, well, it's a matter of opinion, some may consider it to be a sweet thing, I thought it was just annoying."], "output": "[['food quality', '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": ["Shame on this place for the horrible rude staff and non-existent customer service."], "output": "[['service general', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["If only they delivered, they'd make a mint!"], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The entree was bland and small, dessert was not inspired."], "output": "[['food quality', 'negative'], ['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": ["They seemed to continue to rush us along, taking plates without asking if we were done (my sister still had her fork in hand). "], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The manager was rude and handled the situation extremely poorly."], "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 tend to judge a sushi restaurant by its sea urchin, which was heavenly at sushi rose."], "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 noticed alot of indian people eatting there which is a great sign for an indian place!"], "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": ["Somehow working the italian charm with constant mille grazie does not constitute proper 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 would never recommend this place to anybody even for a casual dinner."], "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": ["Great sushi experience."], "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": ["however, it's the service that leaves a bad taste in my mouth."], "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": ["Avoid this place!"], "output": "[['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Lucky Strike is a great casual place to just grab a bite to eat."], "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 will be going back and heartily recommend it!"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Spreads and toppings are great - though a bit pricey."], "output": "[['food quality', 'positive'], ['food quality', 'positive'], ['food prices', 'negative'], ['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["we love th pink pony."], "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 was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went."], "output": "[['food quality', '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": ["It was pretty inexpensive too."], "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": ["awesome"], "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": ["limited menu, no-so-fresh ingredients, thinly-sliced fish, fall-apart rice. "], "output": "[['food style_options', 'negative'], ['food quality', 'negative'], ['food style_options', '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 heartily 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": ["When the bill came, nothing was comped, so I told the manager very politely that we were willing to pay for the wine, but I didn't think I should have to pay for food with a maggot in it."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My friend from Milan and myself were pleasantly surprised when we arrived and everyone spoke italian."], "output": "[['restaurant miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The only downside... they only take cash which is OK if you know about it ahead of time."], "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": ["Interesting selection, good wines, service fine, fun decor."], "output": "[['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', '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": ["its a little out of the way if you don't live in the neighborhood, but definitely worth the trip from wherever you are."], "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": ["And $11 for a plate of bland guacamole?"], "output": "[['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": ["All of the pizzas are terrific and the price is even better!"], "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": ["The rest of the dim sum, though pricey by Chinatown standards, is worth it."], "output": "[['food prices', 'negative'], ['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Love Pizza 33.."], "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": ["Patsy's Pizza = true love"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I'm sure I'll return for a final judgement tho."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Not enough wines by the glass either."], "output": "[['drinks style_options', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food was 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": ["They don't concern much of customer's health, just want to make money."], "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": ["Every time I have a special occasion with my boyfriend I have a hard time going anywhere else."], "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": ["Ingredients are organic which is a real plus for me."], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food we ordered was excellent, although I wouldn't say the margaritas were anything to write home about."], "output": "[['food quality', 'positive'], ['drinks 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 atmosphere was pretty nice but had a bit lacking, which it tries to make up for with a crazy scheme of mirrors."], "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": ["They have a delicious banana chocolate dessert, as well as a great green tea tempura."], "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": ["Service was very prompt but slightly rushed."], "output": "[['service general', '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": ["It's one of our favorite places to eat in NY."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Definately check it out!!!"], "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": ["Wouldn't recomend it for dinner!"], "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": ["Try the Pad Thai, it's fabulous and their prices are so cheap!"], "output": "[['food quality', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Even though the place is not beautiful, the food speaks for itself."], "output": "[['ambience 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": ["I have worked in restaurants and cook a lot, and there is no way a maggot should be able to get into well prepared 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": ["The manager finally said he would comp the two glasses of wine (which cost less than the food), and made it seem like a big concession."], "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": ["amazing fresh dogs but best of all endless toppings!!!"], "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": ["And really large portions."], "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": ["Love YUKA."], "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": ["stick with the chicken, beef, and lamb dishes."], "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": ["This place...god where do i begin."], "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": ["Don't dine at Tamarind for the vegetarian dishes, they are simply not up to par with the non-veg selections."], "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 food is very average...the Thai fusion stuff is a bit too sweet, every thing they serve is too sweet here."], "output": "[['food quality', 'negative'], ['food quality', 'negative'], ['food quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Amma is nothing special."], "output": "[['restaurant general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Highly recommended!"], "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": ["Loved It"], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals."], "output": "[['service general', '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": ["Very immature bartender, didnt know how to make specific drinks, service was so slowwwww, the food was not fresh or warm, waitresses were busy flirting with men at the bar and werent very attentive to all the customers."], "output": "[['service general', 'negative'], ['service general', 'negative'], ['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Best. Sushi. 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": ["The pizza was delivered cold and the cheese wasn't even fully melted!"], "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": ["Great sake!"], "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": ["Looking around, I saw a room full of New Yorkers enjoying a real meal in a real restaurant, not a clubhouse of the fabulous trying to be seen."], "output": "[['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": ["Not worth it."], "output": "[['food prices', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Faan is sooo good."], "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 was pleasantly surprised to find this gem in Hoboken."], "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 should have called it mascarpone with chocolate chips-good but a far cry from what the name implies."], "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 not exactly five star, but thats not really a big deal."], "output": "[['service general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The food is prepared quickly and efficiently."], "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": ["Great place to relax and enjoy your dinner"], "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": ["My son and his girlfriend both wanted cheeseburgers and they were huge!"], "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": ["Have frequented 'ino for several years and the food remains 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": ["I had a huge group for my birthday and we were well taken care of."], "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": ["Good 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": ["For the people who want great food plus great service, Roxy is a place to AVOID!"], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["My wife and I ate here earlier this week and have not stopped ranting and raving about 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']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The staff is very good."], "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 had a great experience."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["IT WAS HORRIBLE."], "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": ["It looked like shredded cheese partly done - still in strips."], "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": ["I would highly recommand requesting a table by the window."], "output": "[['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": ["A big disappointment, all around."], "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 have never been so disgusted by both food an service."], "output": "[['food quality', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["service is friendly, and never had a problem walking in and getting a table."], "output": "[['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": ["Very cozy and warm inside....."], "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": ["Their tuna tartar appetizer is to die for."], "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": ["Good luck getting a table."], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Dumbfoundingly Poor"], "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 have been going back again and 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": ["The staff was accomodating, the food was absolutely delicious and the place is lovely."], "output": "[['service general', 'positive'], ['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 service is good and ambience is good for a date or group outing."], "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": ["I'll being with a couple of positives: cool decor, good pita and hummus, and grilled octopus that was actually pretty tasty."], "output": "[['ambience general', 'positive'], ['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": ["At first we were a little taken aback, as this seemed to present a problem, although the restaurant looked fairly empty, but they hastily put the table together for us."], "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 salads are delicious, both refreshing and very spicy."], "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": ["On a recent Sunday afternoon, a friend and I accidently found this great restaurant on our way to see the pulitzer prize winning play DOUBT."], "output": "[['restaurant 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": ["everyone was cheerfully cooperative and helpful."], "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": ["Never got an explanation as to what was going on."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["However, I think Jeckll and Hydes t is one of those places that is fun to do once."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Try everything for that matter, it is all 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": ["The pastas are incredible, the risottos (particularly the sepia) are fantastic and the braised rabbit is amazing."], "output": "[['food quality', 'positive'], ['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": ["The location is perfect."], "output": "[['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": ["My wife and I always enjoy the young, not always well trained but nevertheless friendly, staff, all of whom have a story."], "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 was 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": ["We ordered the special, grilled branzino, that was so infused with bone, it was difficult to eat."], "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 soup for the udon was soy sauce and water."], "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 was speechless by the horrible 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": ["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."], "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": ["Stay away"], "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 highly recommend this beautiful place."], "output": "[['ambience general', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["We paid a fixed pricce but got nothing!!"], "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 service leaves much to be desired, from feeling like you are rushed the place your order, to being ignored the rest of the night."], "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 level of rudeness was preposterous."], "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": ["Would NEVER go back there."], "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 recieved prompt service with a smile."], "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 scallion pancakes and fried dumplings were nothing out of the ordinary."], "output": "[['food quality', 'neutral'], ['food quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I think that it is absolutely brilliant and well runned business operation."], "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": ["No plans to return anytime soon."], "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": ["My husband said he could've eaten several more, the portion was fine for me he even exclaimed that the french fries were the best he has had."], "output": "[['food style_options', 'negative'], ['food style_options', '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 heard the lobster roll was 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": ["Never have I had such dramatic delivery guys (a lot of huffing and panting and muttering under breath b/c I live in a walkup) who always seem disappointed with their tips."], "output": "[['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The service was terrible, we had to wait for everything and ask several of different people for the same thing before we were allowed to be served."], "output": "[['service 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 think the pizza is so overrated and was under cooked."], "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 stumbled upon this great pizzeria as I explored my new neighborhood."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I have been going there since it opened and I can't get enough."], "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 wish they would change back to what it was before."], "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": ["Once you step into Cosette, you're miraculously in a small, off-the-beaten path Parisian bistro."], "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 would say that all was fine and tasty but the heaviness on my stomach someting that i can't not mention or undermine."], "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 portions are large and the servers always surprise us with a different starter."], "output": "[['food style_options', 'positive'], ['service general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Kind of a small place but I guess if they are not too busy might be able to fit a group or kids."], "output": "[['restaurant miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["this little place has a cute interior decor and affordable city prices."], "output": "[['ambience general', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Inexpensive, unassuming, great time!"], "output": "[['restaurant prices', 'positive'], ['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["He offers subpar service and has no personality."], "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": ["Can\u2019t believe how an expensive NYC restaurant can be so disrespectful to its clients."], "output": "[['restaurant prices', 'negative'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["Be prepared to wait, because the place is pretty tiny."], "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": ["you should travel from the Bronx to try it..."], "output": "[['restaurant general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The Four Seasons has history and it is a sort of landmark of New York City restaurants, but trust me, they will charge you through the nose just so that you can say \"I've been to the four seasons restaurant\"."], "output": "[['restaurant miscellaneous', 'neutral'], ['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": ["First went here to enjoy their garden terrace."], "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 LOOOVE their eggplant pizza, as well as their pastas!"], "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": ["It is a lot of fun with live entertainment and all kinds of Disney type special effects."], "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": ["An excellent service"], "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": ["Amazing!"], "output": "[['food quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["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)"], "output": "[['ambience general', 'positive'], ['ambience general', 'positive'], ['drinks style_options', 'positive'], ['service general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The design of the space is good."], "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 atmosphere isn't the greatest , but I suppose that's how they keep the prices down ."], "output": "[['ambience general', 'neutral'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["They have great rolls, the triple color and norwegetan rolls, are awesome and filling."], "output": "[['food quality', 'positive'], ['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've waited over one hour for food."], "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 decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic, just simple, small and sparse."], "output": "[['ambience 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": ["food was luke warm."], "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": ["Taxan 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": ["This is a great place to take out-of-towners, and perfect for watching the sunset."], "output": "[['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": ["To be completely fair, the only redeeming factor was the food, which was above average, but couldn't make up for all the other deficiencies of Teodora."], "output": "[['food quality', 'positive'], ['restaurant general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["The place is beautiful!"], "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 workers there also absolutely load the bagel with cream cheese (gets a little messy)."], "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": ["The frizzy retro girl (with winged/ Dame Edna glasses) will yell at you if you try to order 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": ["Baluchi's has solid food and a nice decor at reasonable prices."], "output": "[['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive']]", "situation": "none", "label": "", "extra": "", "instruct": "Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better.\"  Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2016", "input": ["I ordered the vitello alla marsala and I was pretty impressed."], "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 rice to fish ration was also good--they didn't try to overpack the rice."], "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 agree that dining at Casa La Femme is like no other dining 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": ["Their calzones are horrific, bad, vomit-inducing, YUCK."], "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": ["Pacifico is a great place to casually hang out."], "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']] "}