laptop/dev.jsonl

{"task_type": "generation", "dataset": "semeval-2014", "input": ["Runs smooth and quick."], "output": "[['Runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its a good laptop for its value."], "output": "[['value', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It takes me approximately 3 tries to get to each site, then after closing the browser and reopening it it actually works."], "output": "[['browser', '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 in the best condition and has a really high quality."], "output": "[['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Maybe this is virus related, maybe not, but the computer has locked up many times, and on two occasions, the screen has simply gone black."], "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": ["More times that not the screen pops up saying I have a bad internet connection, or the page can't be displayed."], "output": "[['internet connection', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Unable to boot up this brand new laptop."], "output": "[['boot up', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["You won't have to spend gobs of money on some inefficient virus program that needs to be updated every month and that constantly drains your wallet."], "output": "[['virus program', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The first full charge of this battery got me only about 2 full hours."], "output": "[['battery', 'negative'], ['full charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The processor is very quick and effective as I load webpages and applications."], "output": "[['processor', 'positive'], ['applications', 'neutral'], ['load', 'positive'], ['webpages', '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": ["As with any laptop not purchased with software options, it comes with a lot of what I consider useless applications."], "output": "[['software options', 'negative'], ['applications', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It runs perfectly."], "output": "[['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["super fast processor and really nice graphics card.."], "output": "[['processor', 'positive'], ['graphics card', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I use iphoto all the time, which is a great program for anyone who is into photography - amateurs and experts alike."], "output": "[['iphoto', 'positive'], ['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Support has been lackluster and now I just want a refund."], "output": "[['Support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Now mainboard is broken, have to wait for a new one."], "output": "[['mainboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Downfalls: sharp edges."], "output": "[['edges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Then, within 5 months, the charger crapped out on me."], "output": "[['charger', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The LED backlit display makes my pictures pop so much more."], "output": "[['LED backlit display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["HP is more interested in selling extended warranties (which cost more than the netbook new) then they are in helping or fixing."], "output": "[['extended warranties', 'negative'], ['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": ["I couldn't believe how long the battery lasted on a single charge."], "output": "[['battery', 'positive'], ['charge', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Or the cursor would show up some place else."], "output": "[['cursor', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["System is loosing about 20% of performance because of that."], "output": "[['performance', 'negative'], ['System', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The large screen gives you the option to comfortably watch movies or TV shows on your computer instead of buying an additional TV for your dorm room."], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's now all commodity hardware."], "output": "[['commodity hardware', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Startup in about 30 seconds, shutdown in 2-4 seconds, resume from sleep in 0-2 seconds."], "output": "[['Startup', 'neutral'], ['shutdown', 'neutral'], ['resume from sleep', '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": ["u can do what u want in just few seconds, even to start up your computer takes few seconds."], "output": "[['start up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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": "[['services', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 runs very quiet too which is a plus."], "output": "[['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Apple care included."], "output": "[['Apple care', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is easy to use and lightweight."], "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": ["Good monitor and performed well."], "output": "[['monitor', 'positive'], ['performed', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The macbook rarely requires a hard reboot."], "output": "[['hard reboot', '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": ["Has a 5-6 hour battery life."], "output": "[['battery life', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["If you don't feel comfortable doing it yourself, just buy the case and be happy, plus it looks nice, I bought the white one from Best Buy."], "output": "[['case', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["To be honest i think it was faulty equipment or something but idk."], "output": "[['equipment', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The processor 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": "[['processor', 'positive'], ['OSX 16', 'positive'], ['graphics', 'positive'], ['hardware', 'neutral'], ['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": ["The only downfall is the battery only last 1.5-2.0 hrs when not plugged in."], "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": ["Processor - When compared to my 3 week old Early 2011 edition there I barely experience any difference in performance (2.3 GHz v/s 2.4 GHz)."], "output": "[['Processor', 'neutral'], ['performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great value, fast delivery- Computer works as if brand new, no problems, very pleased."], "output": "[['delivery', '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": ["Purchased for development purposes, but it has turned into my everyday laptop as well for surfing, e-mail, etc."], "output": "[['surfing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 Dealing with the support drone on the other end of the chat was sheer torture."], "output": "[['support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I took off a star because the machine has a lot of junk software on it."], "output": "[['software', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The only thing I can imagine is that Sony jumped on early specifications for Vista requirements from Microsoft and designed it to those inadequate requirements."], "output": "[['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The 4 USB ports are nice, but the two on the side only work now and then."], "output": "[['USB ports', '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 Toshiba laptop I am using is easier to use than most I have tried."], "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": ["That system is fixed."], "output": "[['system', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Another thing I might add is the battery life is excellent."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Great battery, speed, display."], "output": "[['battery', 'positive'], ['speed', 'positive'], ['display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also purchased Office Max's \"Max Assurance\" with the \"no lemon\" clause."], "output": "[['Office Max\\'s \"Max Assurance\"', '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 Also, I have had alot of trouble with the keys sticking and will not type correctly."], "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": ["I was a little weary at purchasing another 13\" macbook almost 2 years later but t looks like the newer macbooks have gotten its current line of graphics cards in order this time around."], "output": "[['graphics cards', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["the size 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": "[['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Unibody construction is solid, sleek and beautiful."], "output": "[['Unibody construction', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Enabling the battery timer is useless."], "output": "[['battery timer', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV."], "output": "[['HDMI port', 'negative'], ['S-video port', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["None of the techs at HP knew what they were doing."], "output": "[['techs at HP', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 extremely portable and easily connects to WIFI at the library and elsewhere."], "output": "[['connects to WIFI', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["On my PowerBook G4 I would never use the trackpad I would use an external mouse because I didn't like the trackpad."], "output": "[['trackpad', 'negative'], ['external mouse', 'neutral'], ['trackpad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 sleek case design is only on the outside."], "output": "[['case 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": ["Garageband is easy to work with, like all the other apple applications I've had experience with."], "output": "[['Garageband', 'positive'], ['apple applications', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["i love the size of the computer since i play games on it."], "output": "[['size', 'positive'], ['games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The backlit keys are wonderful when you are working in the dark."], "output": "[['backlit keys', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had always used PCs and been constantly frustrated by the crashing and the poorly designed operating systems that were never very intuitive."], "output": "[['operating systems', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 incredibly bright, much brighter than my PowerBook and very crisp."], "output": "[['display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'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": "[['Apple support', 'positive'], ['techs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Thank you Best Buy for putting my computer together and installing my first software - you guys were GREAT too!"], "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": ["They are about the same size keys."], "output": "[['keys', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["3) Horrible customer support."], "output": "[['customer support', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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": "[['Toshiba customer services', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 Toshiba Net book operates very well."], "output": "[['operates', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Its very nice and once you learn the features you will be so happy to have such a sophisticated computer."], "output": "[['features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Wireless has not been a issue for me, like some others have meantioned."], "output": "[['Wireless', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I do not experience a lot of heat coming out of it, however I would highly suggest purchasing a stand however, due to the nature of the design of the macbook as it is one very large heat sink."], "output": "[['stand', 'neutral'], ['design', 'negative'], ['heat sink', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I took it in to the Apple store and guess what? They fixed it, no cost out of pocket."], "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": ["Simple to use, and great graphics."], "output": "[['graphics', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But other than that I am blown away by all the features this laptop offers."], "output": "[['features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['components', 'negative'], ['ground loop isolator', 'neutral'], ['price range', 'negative'], ['quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It did not have all the features I expected it to have."], "output": "[['features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["no complaints with their desktop, and maybe because it just sits on your desktop, and you don't carry it around, which could jar the hard drive, or the motherboard."], "output": "[['hard drive', 'neutral'], ['motherboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It had the full sized touch pad with 2 buttons instead of just one."], "output": "[['touch pad', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["you can find many laptops with the same performance and even better with lower price, but you cannot find the look, easy, applications, and the experience in mac."], "output": "[['performance', 'neutral'], ['price', 'positive'], ['look', 'positive'], ['applications', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Looks nice, but has a horribly cheap feel."], "output": "[['feel', 'negative'], ['Looks', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Then after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running."], "output": "[['charger', 'negative'], ['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I took it back for an Asus and same thing- blue screen which required me to remove the battery to reset."], "output": "[['battery', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But with A WAY Bigger Screen, and IS able to connect to an HDMI."], "output": "[['Screen', 'positive'], ['HDMI', '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": ["Good keyboard, long battery life, largest hard drive and windows 7."], "output": "[['keyboard', 'positive'], ['battery life', 'positive'], ['hard drive', 'positive'], ['windows 7', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It took Toshiba tech support 4 calls and 4 different techs to correct the problem."], "output": "[['Toshiba tech support', 'negative'], ['techs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Next, most Acer laptop fans are on the bottom which is right on your laptop."], "output": "[['fans', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had upgraded my old MacBook to Lion, so I kind of knew what I was getting, but hadn't been able to enjoy some of the awesome new multi-touch features."], "output": "[['multi-touch features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Without a doubt, the *design* of this laptop is fantastic."], "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": ["The battery life has not decreased since I bought it, so i'm thrilled with that."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["As a lifelong Windows user, I was extremely pleased to make the change to Mac."], "output": "[['Windows', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is good to know that I can mobilize without having to worry about the battery life."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["You can call HP and they want you to buy more software to fix it."], "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": ["the key bindings take a little getting used to, but have loved the Macbook Pro."], "output": "[['key bindings', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Finally, I should note that I took the 2GB RAM stick from my old EeePC and installed it before I even powered on for the first time."], "output": "[['2GB RAM stick', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 also the battery is completely shot."], "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": ["Overall : Poor, Features: Average, Performance: Poor, Battery Life: Excellent, Price-Value: Poor."], "output": "[['Features', 'neutral'], ['Performance', 'negative'], ['Battery Life', 'positive'], ['Price', 'negative'], ['Value', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 program came with the computer and works beautifully."], "output": "[['program', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Toshiba Satellite has been more than I expected for the 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": ["not using wired lan not sure what thats about."], "output": "[['wired lan', '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 shows great colors."], "output": "[['screen', 'positive'], ['colors', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["With Windows laptops a wireless mouse is an absolute must."], "output": "[['wireless mouse', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 i have tried to charge on different batteries with no luck."], "output": "[['batteries', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Tried to make a recovey disk wouldnt get passed the first recovery disk."], "output": "[['recovey disk', 'negative'], ['recovery disk', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I just plug this into my 22\" Monitor and the speedy MacOSX performs just as well on this dual-core that my Dell did with Windows 7 with a quad-core."], "output": "[['MacOSX', 'positive'], ['Windows 7', 'positive'], ['dual-core', 'neutral'], ['quad-core', 'neutral'], ['22\" 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": ["\u00a0 The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues."], "output": "[['board', 'negative'], ['connector', 'negative'], ['power supply', 'negative'], ['warrenty', 'negative'], ['power supply', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['customer services', 'negative'], ['toshiba customer services', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 preferred the fit and feel of the 13 inch."], "output": "[['13 inch', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The ease of use is wonderful."], "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": ["Even doing so, the hinge may just be slightly tightened only."], "output": "[['hinge', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Very fast boot up and shut down."], "output": "[['boot up', 'positive'], ['shut down', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["BUT there's this application called Boot Camp which allows you to add another OS X like Windows."], "output": "[['application', 'neutral'], ['OS X', 'neutral'], ['Boot Camp', 'neutral'], ['Windows', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["But Sony said we could send it back and be charged for adding the bluetooth an additional seventy something dollars."], "output": "[['adding the bluetooth', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had to adjust my mousepad sensitivity, because it is very sensitive."], "output": "[['mousepad sensitivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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', 'positive'], ['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I'm tired of the inept service."], "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": ["Great wifi too."], "output": "[['wifi', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 assurances from 2 different people that the remaining 10 months of my warranty would transfer to the new computer."], "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": ["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 life', 'negative'], ['case', 'negative'], ['core applications', 'negative'], ['system', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I purchased a Toshiba Satellite M60 (with harman/kardon speakers!) in December of 2005."], "output": "[['speakers', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["great battery life."], "output": "[['battery life', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Wasted me at least 8 hours of installation time."], "output": "[['installation time', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not to mention the fact that your mac comes fully loaded with all necessary basic programs."], "output": "[['programs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My wireless system would not recognize Windows 7 and I couldn't get online to find out why."], "output": "[['wireless system', 'negative'], ['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": ["It does not even have the software to play a dvd now."], "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": ["The people are frustrating to work with, the product itself is very cheaply made, and the accessories are less than satisfactory."], "output": "[['accessories', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["the mouse is way way way to sensitve."], "output": "[['mouse', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I previously purchased a 13\" macbook (had pro specs and was aluminum style) which had a nvidia 9800 (If I am not mistaken) and it had major heating issues."], "output": "[['aluminum style', 'positive'], ['specs', 'positive'], ['nvidia 9800', '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 would like to have volume buttons rather than the adjustment that is on the front."], "output": "[['volume buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Excellent speed for processing data."], "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": ["I have no idea how this could have even gotten past quality control during production."], "output": "[['quality 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": ["Its also FUN to use!"], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I custom ordered the machine from HP and could NOT understand the techie due to his accent."], "output": "[['techie', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Vista is a nightmare."], "output": "[['Vista', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is stamped and not in pieces therefore it is a stronger more resilient frame."], "output": "[['frame', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Laptop was in new condition and operational, but for the audio problem when 1st sent for repair."], "output": "[['audio', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Love the stability of the Mac software and operating system."], "output": "[['stability', 'positive'], ['Mac software', 'positive'], ['operating system', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['cd drive', 'neutral'], ['video games', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I will have to purchase Spy ware or Nortell for privacy protection."], "output": "[['Spy ware', 'neutral'], ['Nortell', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["They say sorry out of 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": ["This is a great little computer for the price."], "output": "[['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life was shorter than expected."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It's even easy to hook up to other wireless networks."], "output": "[['hook up to other wireless networks', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The feel of this machine compared to the old MacBook is far superior."], "output": "[['feel', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["little short on RAM but you get what you pay for."], "output": "[['RAM', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Do you think I purposely \"destroy\" my netbook, so that I can demand a new set? Do you think it's fun to take public transport all the way to the service center and get a non-satisfactory solution? Or rather NO solution."], "output": "[['service center', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 size, keyboard, the functions."], "output": "[['size', 'positive'], ['keyboard', 'positive'], ['functions', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Bluetooth was not there at all, and the fingerprint reader driver would be there, but the software would hang after installation was 1/2 way done."], "output": "[['Bluetooth', 'negative'], ['fingerprint reader driver', '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": ["When we bought our new HP comouter in Dec. of 2008, we wanted Windows XP, but were told it would cost an extra $159, so we went with Vista."], "output": "[['Windows XP', 'conflict'], ['Vista', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Also, the space bar makes a noisy click every time you use it."], "output": "[['space bar', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 HP sends it back to me with the hardware screwed up, not able to connect."], "output": "[['hardware', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["when i first got it i thought the size of it was a joke."], "output": "[['size', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["HP said it was 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": ["It played various games without problems and ran aero smoothly and flawlessly."], "output": "[['games', 'neutral'], ['aero', '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 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', 'positive'], ['plate', 'negative'], ['mouse command buttons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I feel that it was poorly put together, because once in a while different plastic\u00a0pieces\u00a0would come off of it."], "output": "[['plastic\\xa0pieces', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Lightweight and the screen is beautiful!"], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["As a die-hard Windows enthusiast, I shunned the idea of a Mac until this point."], "output": "[['Windows', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The keyboard, which generally felt okay even for someone used to a desktop keyboard, now looks terrible."], "output": "[['keyboard', 'conflict'], ['desktop 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 has bein into the shop to get a new hardrive 2 times and to fix the touch control buttons on the keyboard!"], "output": "[['hardrive', 'negative'], ['touch control buttons', 'negative'], ['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["There is a backlit keyboard which is perfect for typing in the dark."], "output": "[['backlit keyboard', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The graphics were awful and the warranty isn't even worth the cheap payment on the computer."], "output": "[['graphics', '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": ["The leather carrying case, keyboard and mouse arrived in two days from Memphis warehouse."], "output": "[['leather carrying case', 'neutral'], ['keyboard', 'neutral'], ['mouse', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Typing on the keyboard becomes uncomfortable after extended use due to the sharp edges that your wrists rest on."], "output": "[['keyboard', 'negative'], ['edges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Well, I started using Google Chrome, which is a little better, but it freezes too sometimes."], "output": "[['Google Chrome', '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 to write and play with graphics and html programming and my new Toshiba works great on both!"], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The people there just changed for me on the spot and I got a new arm piece and they didn't even request for a receipt."], "output": "[['arm piece', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 lasting about 6 hours as I am surfing the web on Sundays while checking football scores and watching funny Youtube videos."], "output": "[['Battery', 'neutral'], ['surfing the web', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["i needed one to be able to carry to work everyday and this one seems to fit all of the criteria."], "output": "[['carry', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life was supposed to be 6 hours, but even if I ran off the battery with the high effeciency setting the battery would only last me on average about 2.5 to 3 hours."], "output": "[['battery life', 'negative'], ['battery', 'neutral'], ['battery', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["it is of high quality, has a killer GUI, is extremely stable, is highly expandable, is bundled with lots of very good applications, is easy to use, and is absolutely gorgeous."], "output": "[['quality', 'positive'], ['GUI', 'positive'], ['applications', '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": ["Beta had better quality, but VHS became the industry standard."], "output": "[['quality', 'conflict'], ['VHS', '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 keyboard is slick and quiet and not bulky like some other laptops I have had in the past."], "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": ["Features such as the Dashboard (allows you to view frequently used tools like a calculator, weather forecast, movie times, calendar, computer post its etc."], "output": "[['Features', 'neutral'], ['Dashboard', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Windows also shuts the computer down for no reason without warning."], "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 mcbook pro notebook will make it easy for you to write and read your emails at blazing speeds."], "output": "[['speeds', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 right speaker did not work."], "output": "[['right speaker', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not to mention sometimes the whole charger unit will decide not to work entirely."], "output": "[['charger unit', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 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": "[['electronic fuzz sound', 'negative'], ['headphone jack', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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, as easy as it is to use, and I do think it is a great STARTER laptop."], "output": "[['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Your cursor will end up all over the freaking place,,,it's not uncommon for me to accidentally delete words, sentences, paragraphs because of this mousepad."], "output": "[['cursor', 'negative'], ['mousepad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is the complete opposite to an ergonomic design."], "output": "[['design', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I bought this notebook and only had it for 3 months If it is overload with updates the BOOT MGR."], "output": "[['BOOT MGR', '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 graphics and clarity, and sharpness are great."], "output": "[['screen graphics', 'positive'], ['clarity', 'positive'], ['sharpness', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["One drawback I noticed was sound quality via USB."], "output": "[['sound quality via USB', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 not ideal for children because of the temp."], "output": "[['temp', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life sucked the juice from my laptop and when the extended life battery went out we were SOL there to, so much for that warranty covering all the products we purchased."], "output": "[['battery life', 'negative'], ['warranty', 'negative'], ['extended life battery', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Mac Snow Leopard O/S is extremely easy to use, although very different than Win XP, Visa or Win7."], "output": "[['Mac Snow Leopard O/S', 'positive'], ['Win XP', 'neutral'], ['Visa', 'neutral'], ['Win7', 'neutral'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I use a cooling pad but it doesn't help."], "output": "[['cooling pad', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also love the small, convenient size of my laptop, making it a perfect tool for my academic studies."], "output": "[['size', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The laptop is very lightweight, can easily carry around in a knapsack full of text books and it barely adds any weight."], "output": "[['carry', 'positive'], ['weight', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keys stick periodically and I havent had the laptop for 45 days yet."], "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": ["It caught a virus that completely wiped out my hard drive in a matter of hours."], "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": ["Treat yourself to a more expensive, long-lasting laptop of quality like a Sony, Apple, or Toshiba."], "output": "[['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It fires up in the morning in less than 30 seconds and I have never had any issues with it freezing."], "output": "[['fires up', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["After doing extensive research, macconnection had the lowest price on the 15\" MBP i5."], "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": ["when i called to have another one shipped or to get my money back they said the return policy is 23 twenty three days from the date of purchase."], "output": "[['return policy', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Again, the same problem, the right speaker did not work."], "output": "[['right speaker', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Nightly my computer defrags itself and runs a virus scan."], "output": "[['virus scan', '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 weighed like seven pounds or something like that."], "output": "[['weighed', 'neutral'], ['seven pounds', '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": ["No temporary replacement, they are out of replacements because \"many computers had problems with the Nvidia chipset\"-Inquired status of repair."], "output": "[['Nvidia chipset', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery is really long."], "output": "[['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Three, the mac book has advantages over pcs' with linux based os there is very 'few problems with system performance when it comes to a mac."], "output": "[['system performance', 'negative'], ['linux based 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": ["The Computer itself is a good product but the repair depot stinks."], "output": "[['repair depot', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not to mention it has shit gigs."], "output": "[['gigs', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 Only a few days after I received the computer back, the screen froze again."], "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 exactly like it did the day I took it out of the box."], "output": "[['works', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery doesn't last long but I'm sure an upgrade battery would solve that problem."], "output": "[['battery', 'negative'], ['battery', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I wanted something that had a new Intel Core processors and HDMI port so that we could hook it up directly to our TV."], "output": "[['Intel Core processors', 'neutral'], ['HDMI port', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My sister has the same Mac as me and she is in a band and uses GarageBand to record and edit."], "output": "[['GarageBand', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["They sent out a Sony 'Certified' technician."], "output": "[[\"Sony 'Certified' technician\", '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": ["Not sure how I recommend it for quality gaming, as I have a desktop rig for that reason."], "output": "[['gaming', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is my first Dell I heard their customer service was lacking and that they were working on improving it!"], "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": ["Maximum sound isn't nearly as loud as it should be."], "output": "[['Maximum sound', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["In the first moth of owning this computer its hardrive failed which had to be replaced."], "output": "[['hardrive', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 gorgeous - yummy good."], "output": "[['screen', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['bios', 'negative'], ['bios', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["This system came loaded with Windows 7 Starter."], "output": "[['Windows 7 Starter', '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": ["Apparently there is a manufacturing defect, something with the amount of thermal paste."], "output": "[['thermal paste', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Unless you 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', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 Later it held zero charge and its replacement worked for less than three months."], "output": "[['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["After 20-30 min the screen of the notebook switched off."], "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 really is perfect for work and play."], "output": "[['play', 'positive'], ['work', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 customer support (which is good too) and they went through it and it is just a safety feature and it does not affect performance at all, I just chose to hide the message."], "output": "[['customer support', 'positive'], ['performance', 'neutral'], ['safety feature', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I had my IWORKS, Itunes, Email, MS Office, network and printers set up and completely working perfectly within an hour."], "output": "[['IWORKS', 'positive'], ['Itunes', 'positive'], ['MS Office', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The graphics on this computer are also stellar - very clear and vivid."], "output": "[['graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Was very much worth the price i paid."], "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 is sleek and lightweight and charges quickly when needed."], "output": "[['charges', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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'ts nice to have the higher-end laptops, but this fits my budget and the features I need."], "output": "[['features', 'positive'], ['budget', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery never held a charge longer than one hour and within two months, stopped holding a charge for more than ten minutes."], "output": "[['battery', 'negative'], ['charge', 'negative'], ['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My MacBook Pro works like a dream, it has never overheated, or even been slightly warm for that matter."], "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": ["I ordered through MacMall, which saved me the sales tax I would have incurred buying locally."], "output": "[['sales tax', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I think that if it is the motherboard again so soon that they should replace it."], "output": "[['motherboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I contacted Acer and they are giving me FREE recovery DVDs, so don't go and pay for them, just ask for them and they should give them to you."], "output": "[['recovery DVDs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The battery life also doesn't keep up with the claim but still I think macbook is much ahead from the rest of the pack."], "output": "[['battery life', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Thus, when you carry it at a slanted angle, the screen will \"topple\" or \"slide\" down, if you understand what I mean."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The difference is it's a whole lot of fun using the laptop now, still learning the Apple navigation, but is fun and comes with a lot of cool apps."], "output": "[['Apple navigation', 'neutral'], ['apps', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 was so challenging to carry and handle."], "output": "[['carry', 'negative'], ['handle', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 sending out documents via email and having recipients tell me they could not open the documents or they came through as gibberish, I broke down and spent another $100 to get Microsoft Word for Mac."], "output": "[['Microsoft Word for Mac', '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 fact i dont like about apples is they generally use safari and i dont use safari but after i install Mozzilla firfox i love every single bit about it."], "output": "[['safari', 'negative'], ['safari', 'negative'], ['Mozzilla firfox', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Am very glad I bought it, great netbook, low 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": ["PC never worked right even after BIOS fixed."], "output": "[['BIOS', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["this apple navigates you thru the unexplored world of the internet."], "output": "[['internet', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['repair depot', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I 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."], "output": "[['price', '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": ["You have to toss out the wifi card and replace it just to have any sort of network capability."], "output": "[['network capability', 'negative'], ['wifi 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": ["I upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home, and it runs just fine."], "output": "[['memory', 'neutral'], ['Windows 7 Starter', 'neutral'], ['Win 7 Home', 'neutral'], ['runs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["After numerous attempts of trying (including setting the clock in BIOS setup directly), I gave up(I am a techie)."], "output": "[['clock in BIOS setup', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The Mac takes about the same amount of starting-up time as the average PC, but keeps itself cleaned up and ready to use."], "output": "[['starting-up time', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["They say that this will invalidate the warranty on the hard drive (I don't really understand why but anyway)."], "output": "[['warranty', 'negative'], ['hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Keyboard was also very nice and had a solid 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": ["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', 'positive'], ['graphics', '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": ["Disappointing for such a lovely screen and at a reasonable price."], "output": "[['screen', 'positive'], ['price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The letter A stopped working after the first week."], "output": "[['letter A', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Call tech support, standard email the form and fax it back in to us."], "output": "[['tech support', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I've also had to have the keyboard replaced at my expense."], "output": "[['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It was a great laptop, ran great and was really fast."], "output": "[['ran', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is great if you have several lectures back to back and don't have a chance to charge during one of the lectures."], "output": "[['charge', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Newegg's RMA service was great as always, I contacted them late Friday night, and they issued me an RMA number and a PrePaid UPS shipping label the very next morning on Saturday."], "output": "[['RMA service', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I saw walmart had the same computer for about $650 but still knowing what I know now,I would not buy it at that price."], "output": "[['price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Navigation through the computer is far superior compared to Windows operating systems, as well."], "output": "[['Navigation', 'positive'], ['Windows operating systems', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 The screen almost looked like a barcode when it froze."], "output": "[['screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am not sure if it was the drive itself, however;"], "output": "[['drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen."], "output": "[['touchpad', 'negative'], ['screen', 'neutral'], ['mouse pointer', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I will never complain about the price since I believe you get what you pay for and my MacBook Pro was worth every dollar."], "output": "[['price', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The 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": "[['Intel i processors', 'negative'], ['edge', 'negative'], ['edges', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Screen is crystal clear and the system is very responsive."], "output": "[['Screen', 'positive'], ['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": ["Can listen to my music and watch my videos with ease and with a great display."], "output": "[['display', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Features like the font are very block-like and old school."], "output": "[['font', 'negative'], ['Features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["\u00a0 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', 'negative'], ['charge', 'negative'], ['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary, reduces the screen size and increases the bulk."], "output": "[['screen', 'negative'], ['screen size', 'negative'], ['bulk', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["This is what I call a good after sales service."], "output": "[['after sales 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": ["while about 8 years ago, I hope that the quality has changed."], "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": ["After paying several hundred dollars for this service, it is frustrating that you cannot get help after hours."], "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": ["Screen is a bit glossy, but that's not too bad."], "output": "[['Screen', 'conflict']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is speedy when connected wirelessly to any network regardless if the connection is weak or not."], "output": "[['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": ["This is a great value for the money."], "output": "[['value', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["A longer battery life would have been great - but it meets it's spec quite easily."], "output": "[['battery life', 'conflict'], ['spec', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 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."], "output": "[['repair technician', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 difference is next to NOTHING for a mac, and the hard drive can be manually upgraded or you could just buy a $60 500gb external hard drive."], "output": "[['speed', 'negative'], ['hard drive', 'neutral'], ['500gb external hard drive', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing."], "output": "[['processor', 'negative'], ['computing', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["It is so simple to use, I use it more than my desktop."], "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 is easy to use, its keyboard easily accommodates large hands, and its weight is fantasic."], "output": "[['keyboard', 'positive'], ['weight', '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": ["First of all, they had no record of me having the 3 year warranty I'd paid almost $400 for, and I had to call in, spend hours on their online chat service, and fax in multiple documents."], "output": "[['3 year warranty', 'negative'], ['online chat 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": ["Enjoy that Toshib force and durability unparalleled."], "output": "[['force', 'positive'], ['durability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was taught to use Photoshop and was amazed."], "output": "[['Photoshop', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The graphics are great."], "output": "[['graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Good for every day computing and web browsing."], "output": "[['web browsing', 'positive'], ['every day computing', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I thought the price was great for the specs."], "output": "[['price', 'positive'], ['specs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 that I turned to email in my next vain help to get them to acknowledge that the warranty was still valid."], "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": ["From the get-go, the M6809 was unsteady in its operation;"], "output": "[['operation', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["The neat and organized icon list is a welcome change from cluttered and confusing desktop icons."], "output": "[['icon list', 'positive'], ['desktop icons', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["apple has a reputation and is well known for its easy usage."], "output": "[['usage', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 all the programs that came with it, such as iLife and iWork, I was set from the very beginning."], "output": "[['programs', 'neutral'], ['iLife', 'neutral'], ['iWork', '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 has plenty of memory, lots of hard drive, and great graphics."], "output": "[['memory', 'positive'], ['hard drive', 'positive'], ['graphics', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["My friend reports the notebook is astonishing in performance, picture quality, and ease of use."], "output": "[['performance', 'positive'], ['picture quality', 'positive'], ['use', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Not easy to carry."], "output": "[['carry', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full 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 great for general internet use, Microsoft Office apps, home bookkeeping, etc."], "output": "[['Microsoft Office apps', 'positive'], ['internet 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": ["Acer has set me up with FREE recovery discs, when they are available since I asked."], "output": "[['recovery discs', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I hate the display screen and I have done everything I could do the change it."], "output": "[['display screen', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I am enjoying it and the quality it provides is great!"], "output": "[['quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["And the warranty on this macbook pro can last up to 5 years or 1000 battery recharge cycles."], "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": ["This wiped out several programs that were installed on the computer when it was bought."], "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": ["1.You can not change your desktop background (window's 7 starter does NOT support that function)."], "output": "[['desktop background', 'negative'], [\"window's 7 starter\", 'negative'], ['function', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["I was disappointed when I realized that the keyboard doesn't light up on this model."], "output": "[['keyboard', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["Later it held zero charge and its replacement worked for less than three months."], "output": "[['charge', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2014", "input": ["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": "[['shipped', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"The first full charge of this battery got me only about 2 full hours.\"  Output: [['battery', 'negative'], ['full charge', 'negative']] "}