laptop/test.jsonl

{"task_type": "generation", "dataset": "semeval-2014", "input": ["Runs Hot  I thought we were paying for quality in our decision to buy an Apple product."], "output": "[['quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["So we exchanged it for the same on and after 2 hours it didn't work."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The downside to this netbook is pretty much the same for any netbook: screen size is not something I'd stare at for the entire 10-11 hours of battery life five days a week."], "output": "[['screen size', 'neutral'], ['battery life', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["still testing the battery life as i thought it would be better, but am very happy with the upgrade."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["WIth the upgraded memory, the MacBook Pro never has an issue running many many applications at once!"], "output": "[['upgraded memory', 'positive'], ['applications', 'neutral'], ['running', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Setting would change for some reason, the screen size would change on it's own, like the pixel sizes and whatnot."], "output": "[['Setting', 'negative'], ['screen size', 'negative'], ['pixel sizes', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["There are no viruses or spyware to worry about like on a Windows computer."], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['resolution of the screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["As a user of a PC, I will will admit that the macBook Pro has a better running system in which I found myself \"Getting the job done quicker."], "output": "[['running system', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not too much \"junk\" software to remove."], "output": "[['software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["(No problem with the ordering or shipping by the way."], "output": "[['shipping', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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 drive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["so the fact that the computer does not work on the 24 twenty fourth day is my fault."], "output": "[['work', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The 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."], "output": "[['programs', 'positive'], ['loads', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["only good thing is the graphics quality."], "output": "[['graphics quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The \"abuse\" is that I pushed the power plug in too hard."], "output": "[['power plug', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The performance is awesome."], "output": "[['performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["If internet connectivity is important I would recommend going with a dell net book for 50 bucks more, or buy a USB wireless card."], "output": "[['internet connectivity', 'neutral'], ['USB wireless card', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["For me, keys were starting to get stuck and wouldn't type very well."], "output": "[['keys', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The speakers are terrible and are probably the cheapest ones I have ever seen in a laptop so if your planning to listen to music I suggest you get something better."], "output": "[['speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The fact that the screen reacts to the lighting around you is an added luxury-when you are working around others in dark areas and want privacy or don't want to bother them with bright lighting, it is very convenient to have a darker, softer lit screen."], "output": "[['screen', 'positive'], ['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['interface device', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["For the price and what I get out of it has exceeded my expectations."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's like 9 punds, but if you can look past it, it's GREAT!"], "output": "[['9 punds', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The macbooks are small enough to be very portable yet hold tons of information and performance."], "output": "[['performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Reason why? It's because when you buy it, you know first thing that you will not lose any value for that laptop, the price will stay the same for the next year, and even if Apple does decides to change mode, your laptop value will only drop 10-20%, unlike PC laptops which drop more than 80%."], "output": "[['value', 'positive'], ['price', 'positive'], ['value', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's a great product for a great price!"], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["If this is an improvement in Customer Service then I would hate too see what it was before!"], "output": "[['Customer Service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even out of warranty!"], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, I issued a replacement RMA for a few dead pixels in the upper zone of the screen, which is noticable to me."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It works really well."], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Windows is also rather unsteady on its feet and is susceptible to many bugs."], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The 2 GB of RAM is plenty, able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown."], "output": "[['2 GB of RAM', 'positive'], ['Windows 7', 'positive'], ['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had the staff telling me older version did not make the fan noise cause it is a \"different\" computer."], "output": "[['staff', 'negative'], ['fan noise', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I hope to edit this in the next few hours, I am going to try to install my own copy of Windows 7."], "output": "[['Windows 7', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 Now I had not tried to use this since the disc drive had been replaced and after taking it back to the Geek Squad I found out they had accidently not used the right drive when they replaced the first one, so back it went to get the correct drive."], "output": "[['disc drive', 'negative'], ['drive', 'negative'], ['drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 They replaced my hard drive as well as my mother board."], "output": "[['hard drive', 'neutral'], ['mother board', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Had some trouble finding a case that it would fit in."], "output": "[['case', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My favorite part of this computer is that it has a vga port so I can connect it to a bigger screen."], "output": "[['vga port', 'positive'], ['screen', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Even though it is running Snow Leopard, 2.4 GHz C2D is a bit of an antiquated CPU and thus the occasional spinning wheel would appear when running Office Mac applications such as Word or Excel."], "output": "[['Snow Leopard', 'positive'], ['CPU', 'negative'], ['Office Mac applications', 'negative'], ['Word', 'negative'], ['Excel', 'negative'], ['spinning wheel', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["And not to mention after using it for a few months or so, the battery will slowly less and less hold a charge until you can't leave it unplugged for more than 5 minutes without the thing dying."], "output": "[['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Summary: I've had this laptop for 2 months, out of the blue the power adapter stops working."], "output": "[['power adapter', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["(I had been a Windows/Linux user before this) I love the size because the screen is big enough for what I use it for (Internet, artwork), and yet it is small enough to be reasonably portable."], "output": "[['size', 'positive'], ['screen', 'positive'], ['Windows', 'neutral'], ['Linux', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It does not keep internet signals no matter where you bring it."], "output": "[['internet signals', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It didn't come with any software installed outside of windows media, but for the price, I was very pleased with the condition and the overall product."], "output": "[['software', 'negative'], ['windows media', 'neutral'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["All the programs are easy and straight forward on my MacBook Pro, it is clean and organized, which I always strive to be myself."], "output": "[['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Sony parts reliability and quality of service is recenlty the worst."], "output": "[['service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["it is very easy for anyone to use an apple and specially the mcbook pro notebook."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["There are no gold key numbers too intall programs, you must use the serial numbers that it does not accept and then things are limited as far a working because they are only good for a short time."], "output": "[['programs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have found also, it is very easy to be able to access wireless internet access;"], "output": "[['wireless internet access', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Spent 2 hours on phone with HP Technical Support."], "output": "[['HP Technical Support', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is bright and vivid and the keyboard is very easy to use, very important for use quick typers."], "output": "[['screen', 'positive'], ['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I can render AVCHD movies with little effort, which was a problem for most pc's unless you had a quad core I7."], "output": "[['quad core I7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But see the macbook pro is different because it may have a huge price tag but it comes with the full software that you would actually need and most of it has free future updates."], "output": "[['price tag', 'conflict'], ['software', 'positive'], ['updates', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["After way too many times sending the thing in for repairs (delivery service was slow, and without the laptop I had no access to the internet, and thus no way of tracking it to find out when I might hope to see my computer again), it finally kicked the bucket after just over 2 years."], "output": "[['delivery service', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I went to Toshiba online help and found some suggestions to fix it."], "output": "[['Toshiba online help', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Battery is not upgradable to a longer life battery."], "output": "[['Battery', 'negative'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's so nice to look at and the keys are easy to type with."], "output": "[['keys', 'positive'], ['look', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I do transcription work on the side, and the flatline keyboard makes typing quick and easy as well."], "output": "[['flatline keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Good price."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Called Acer many times, they want me to pay the shipping to ship it to their repair center - I was very disappointed since it is a brand new computer!"], "output": "[['shipping', 'negative'], ['repair center', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Design: very durable."], "output": "[['Design', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Like the price and operation."], "output": "[['price', 'positive'], ['operation', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Quality Display  I was surprised with the performance and quality of this HP Laptop."], "output": "[['Quality Display', 'positive'], ['performance', 'positive'], ['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is fast and i have not had a problem with internet connection or any other problems."], "output": "[['internet connection', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But sitting on a lap or on a desk in front of you it looks more than big enough (this could be because Im used to my Lenovo 10 tablet now) plus this is a great size if I want to unplug the external keyboard, mouse, and monitor to take it with me when I take photos and video."], "output": "[['size', 'positive'], ['external keyboard', 'neutral'], ['mouse', 'neutral'], ['monitor', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Many of my classmates computers hard drives crashed."], "output": "[['hard drives', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Then just the other day, my left \"mouse\" button snapped!"], "output": "[['left \"mouse\" button', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is a big big, but since it has a 18.4\" screen what would you expect!"], "output": "[['18.4\" screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I love the operating system and the preloaded software."], "output": "[['operating system', 'positive'], ['preloaded software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It rarely works and when it does it's incredibly slow."], "output": "[['works', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Yes, a Mac is much more money than the average laptop out there, but there is no comparison in style, speed and just cool factor."], "output": "[['style', 'positive'], ['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["When I called Sony the Customer Service was Great."], "output": "[['Customer Service', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Speakers doesn't sound that great."], "output": "[['Speakers', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it, but I like the big screen on it."], "output": "[['17 ince screen', 'neutral'], ['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Hard disk - The new editions gives you more hard disk space (500GB instead of 320GB) but time has taught me never to trust an internal hard disk."], "output": "[['Hard disk', 'neutral'], ['hard disk space', 'positive'], ['internal hard disk', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I got it back and my built-in webcam and built-in mic were shorting out anytime I touched the lid, (mind you this was my means of communication with my fiance who was deployed) but I suffered thru it and would constandly have to reset the computer to be able to use my cam and mic anytime they went out."], "output": "[['built-in webcam', 'negative'], ['built-in mic', 'negative'], ['cam', 'negative'], ['mic', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["With the macbook pro it comes with free securitysoftware to protect it from viruses and other intrusive things from downloads and internet surfing or emails."], "output": "[['securitysoftware', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I have no idea how to burn cd's or to use the web cam, just for starters."], "output": "[['web cam', 'neutral'], [\"burn cd's\", 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["While it was highly rated, would I like it? I tried the keyboard at the store, and it seemed ok."], "output": "[['keyboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is super easy to use."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It has come into good use for my finances, scheduling, my parents business expenses, and it is definitely amazing for gaming."], "output": "[['gaming', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["With today's company fighting over marketshare, its a shame that ASUS can get away with the inept staff answering thephone."], "output": "[['staff', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Other installed features, such as certain printer software, are also most attractive."], "output": "[['features', 'positive'], ['printer software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Once again, I was told it was the suspicious  power supply  problem."], "output": "[['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['camera', 'neutral'], ['specifications', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now 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": "[['connection card', 'neutral'], ['warranty', 'negative'], ['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Strengths:Well-shaped Weaknesses:A bad videocard!"], "output": "[['videocard', 'negative'], ['shaped', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["this computer will last you at least 7 years, thats an amazing life spanned an electronic."], "output": "[['life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Yeah, of course smarty pants \"fix it now\" Software - Compared to the early 2011 edition I did see inbuilt applications crashing and it prompted me to send the report to Apple (which I promptly did)."], "output": "[['inbuilt applications', 'negative'], ['Software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The display is beyond horrible."], "output": "[['display', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["You will need them if you want to reload the OS (I recommend doing if you can to start fresh and optimal)."], "output": "[['OS', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Upgrading from Windows 7 Starter, thru Windows 7 Home Premium, to Windows 7 Professional was a snap;"], "output": "[['Windows 7 Starter', 'neutral'], ['Windows 7 Home Premium', 'neutral'], ['Windows 7 Professional', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The port is secured to motherboard so when this  happens you can't see the plug at all, it's just gone."], "output": "[['motherboard', 'neutral'], ['port', 'neutral'], ['plug', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Internet Explorer was very slow from the very beginning."], "output": "[['Internet Explorer', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I sent it back to Toshiba twice they covered it under the  warranty."], "output": "[['warranty', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Fast, great visual!"], "output": "[['visual', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["( The iBook backup also uses a firewire connection)."], "output": "[['iBook backup', 'neutral'], ['firewire connection', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["the speed is fine."], "output": "[['speed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But when I received my replacement, I made BOTH recovery DVDs (4), and a driver/application DVD."], "output": "[['recovery DVDs', 'neutral'], ['driver/application DVD', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only thing 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."], "output": "[['software', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Wonderful zooming."], "output": "[['zooming', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["While lacking some of the functions of the other versions, this was very acceptable for the uses planned for this computer."], "output": "[['functions', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["lots of preloaded software."], "output": "[['preloaded software', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had something else go wrong and they said it had to be in good working order to be able to buy the warranty."], "output": "[['warranty', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I loved the netbook (minus the fact that it was windows OS) until this started happening."], "output": "[['windows OS', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My laptop cost approximately $2,300 and DIED after only 2-years, 10-months and 18-days of use."], "output": "[['cost', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["You can't even get a satellite card which is why I bought to begin with."], "output": "[['satellite card', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard has a wonderful nature feel."], "output": "[['keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["All the things you can do with the trackpad make navigating around the computer and its programs so much simpler, quicker, and easier."], "output": "[['trackpad', 'positive'], ['programs', 'positive'], ['navigating', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I don't understand why only Windows 7 Starter is included."], "output": "[['Windows 7 Starter', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Apple will run Internet Explorer, but at an amazingly slow rate."], "output": "[['Internet Explorer', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The only downfall is the volume control."], "output": "[['volume control', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["-I propose that they can just swap the hard drives."], "output": "[['hard drives', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["So I called Compaq, and after being on the phone for 3 hours, i finally got a replacement which I shouldn't have had a problem getting since it was under warranty."], "output": "[['warranty', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Seems to slow down occassionally but can run many applications (ie Internet tabs, programs, etc) simultaneously."], "output": "[['applications', 'positive'], ['programs', 'neutral'], ['Internet tabs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Asked the customer service rep."], "output": "[['customer service rep', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}