Generation/laptop/dev.jsonl

{"task_type": "generation", "dataset": "semeval-2015", "input": ["They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die."], "output": "[['battery operation_performance', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["THEN, one month after the warranty expired, the replacement charger went."], "output": "[['power_supply miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I had to pay $100 for a universal charger for this cheap $300 laptop."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Not worth it one bit."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The people are frustrating to work with, the product itself is very cheaply made, and the accessories are less than satisfactory."], "output": "[['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Also, my sister got the exact same laptop (since they were so cheap) and after 8 months, the screen split in half just from everyday use."], "output": "[['display quality', 'negative'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Apparently under the screen there are 2 little screws and when the screen gets moved back and forth, they come loose."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["And it is impossible to get them back in."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Strengths:Well-shaped"], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Weaknesses:A bad videocard!"], "output": "[['graphics general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["After 20-30 min the screen of the notebook switched off."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It was still working, but there was nothing on the screen."], "output": "[['display operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I was said it's videocard."], "output": "[['graphics general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Very disappointed!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Didn't expect to repair it at once!"], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Don't buy this model."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["An absolutely hateful machine that no one should get of their own free will."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Mine came at $1,700 w/o a DVD burner (!)."], "output": "[['laptop design_features', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The screen is framed by half- to a full-inch margin that is obviously unnecessary, reduces the screen size and increases the bulk."], "output": "[['display design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The 4 USB ports are nice, but the two on the side only work now and then."], "output": "[['laptop design_features', 'positive'], ['ports quality', 'negative'], ['ports operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Keyboard could use some trimming."], "output": "[['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Did I mention everything about it, from size to weight to keyboard screams BULK?"], "output": "[['keyboard general', 'negative'], ['laptop design_features', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I'm glad I made the choice to switch and buy this MAC."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The benefits were immediate!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Awesome graphics!"], "output": "[['graphics general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The magnetic plug-in power charging power cord is great (I even put it to the test by accident)- excellent innovation!"], "output": "[['power_supply design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This laptop rocks (only wish it could run SolidWorks CAD - which Apple doesn't support)!"], "output": "[['laptop general', 'positive'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I've saved a lot of time and headaches so far, using my new MacBook Pro."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I have never had any issues or problems with my MacBook Pro so far, and it is still as fast as it was when I first bought it."], "output": "[['laptop general', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I especially like the backlit keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It makes doing schoolwork at night so much easier."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It is also very lightweight, making transporting this computer very easy."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The graphics on this computer are also stellar - very clear and vivid."], "output": "[['graphics quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I use iphoto all the time, which is a great program for anyone who is into photography - amateurs and experts alike."], "output": "[['software general', 'positive'], ['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The program came with the computer and works beautifully."], "output": "[['software operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I definitely will buy a Mac again if and when this computer ever fails."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["My hp G60-244dx died after only 16 months."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It started out getting hot after only a few months."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["At 16 months it started shutting off after only 5 or 10 minutes."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I use a cooling pad but it doesn't help."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I took it to the shop and they said It would cost too much to repair it."], "output": "[['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I will have to say that I love my MacBook Pro!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It fires up in the morning in less than 30 seconds and I have never had any issues with it freezing."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This is now my 3rd MacBook Pro and I really honestly love it!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The MacBook Pro is very sturdy and versatile."], "output": "[['laptop quality', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I love it!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I even got my teenage son one, because of the features that it offers, like, iChat, Photobooth, garage band and more!"], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["We are addicted to the Mac."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This is a great laptop and I would recommend it to anyone."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The OS takes some getting used to especially after being a Windows user for so long but the learning curve is so worth it!"], "output": "[['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Great laptop that offers many great features!"], "output": "[['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Lightweight and the screen is beautiful!"], "output": "[['display general', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It is easy to operate and I have already ordered more software and gadgets for my new Rolls Royce of laptops."], "output": "[['laptop usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Buy it, love it, and I promise you won't regret it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This computer is good for 10 days then it sucks for the rest of your life."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["You will regret it if you buy any dell."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Dell sucks"], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The only pro to this computer is it was under $600!"], "output": "[['laptop general', 'negative'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Everything is falling apart internally and externally."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["With in weeks of purchasing my computer is began to slow down."], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I am constantly trying to uninstall programs, clean cookies, and delete unused files."], "output": "[['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Nightly my computer defrags itself and runs a virus scan."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["More times that not the screen pops up saying I have a bad internet connection, or the page can't be displayed."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It takes me approximately 3 tries to get to each site, then after closing the browser and reopening it it actually works."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I have Vista, so I am unable to install and uninstall\u00a0 some programs."], "output": "[['os general', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I can't even install one of the 3 printers I have in my house so I am unable to print."], "output": "[['laptop usability', 'negative'], ['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Externally the keys on my keyboard are falling off, after a few uses the paint is rubbing off the button below the mouse pad and where the heals of my hands sit, and the screen has a terrible glare."], "output": "[['keyboard quality', 'negative'], ['mouse quality', 'negative'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["In short I would never buy a Compaq again."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I bought this laptop on Saturday and am completely in love with it!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It was super easy to set up and Is really easy to get used to."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The online tutorial videos make it super easy to learn if you have always used a PC."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The performance is awesome."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I will never complain about the price since I believe you get what you pay for and my MacBook Pro was worth every dollar."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["With all the goodies inside this machine, it is a value."], "output": "[['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It is very well built."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The keyboard is top notch."], "output": "[['keyboard quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The touch pad is among the best."], "output": "[['mouse general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The screen is huge and coloful, but no LED backlighting."], "output": "[['display design_features', 'negative'], ['display design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The video card is great for media, and above average for gaming, but not a gamers first choice."], "output": "[['graphics miscellaneous', 'positive'], ['graphics miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The problem I had with this unit was unresolvable."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It had a cooling system malfunction after 10 minutes of general use, and would not move past this error."], "output": "[['fans_cooling quality', 'negative'], ['fans_cooling operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I acually believe the issue is with the Nvidia grafics card, but still requires a return."], "output": "[['graphics general', 'neutral'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Sorry Toshiba, but 1st impressions do count for something."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I got the black MacBook two years ago and have never regretted it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["So this was great for me."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It has just enough RAM to run smoothly and enough memory to satisfy my needs."], "output": "[['laptop operation_performance', 'positive'], ['memory design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Plus it is small and reasonably light so I can take it with me to and from work."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I also travel with it and it never gives me any problems."], "output": "[['laptop portability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["But I am glad to have gotten mine right before they stopped making it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I look forward to years of use, it has held up well over the years and it fits my needs very well."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The difference is the Toshiba had a lot more memory and hard drive space."], "output": "[['memory design_features', 'positive'], ['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It's super fast and a great value for the price!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I would definitely recommend checking out this laptop if you are in the market for one."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["A MONTH LATER, we reinstall the OS (Vista)."], "output": "[['os quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["A coupla months later, they change my hard drive."], "output": "[['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["A month or so ago, the freaking motherboard just died."], "output": "[['motherboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Went silently."], "output": "[['motherboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["One night I turned the freaking thing off after using it, the next day I turn it on, no GUI, screen all dark, power light steady, hard drive light steady and not flashing as it usually does."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["THE MOTHERBOARD IS DEAD !"], "output": "[['motherboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["And I'm still paying the bloody financing, for a product which didn't last me at least three years !"], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I initially purchased my Macbook Pro 13\" in April, and I loved it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I was so happy with my new Mac."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Then the hard drive failed;"], "output": "[['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["my information was all lost (my fault, I know, but I never thought I would need to back up my information on a brand new Mac, the paragon of all computers!"], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["So, after Apple replaced the hard drive I enjoyed another 4 months of my new computer, until it froze this morning--completely."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I can't even turn it off."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It's catatonic."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Even if Apple replaces whatever needs replacing I wonder if, since I seem to be doubling the amount of time I get out of it each time it's \"like new,\" I might have 8 months next time."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I would rate this computer at 5 stars, but considering it has a short life span I can only give it 1 and implore anyone looking at laptops to stay away from this machine."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Great battery, speed, display."], "output": "[['battery general', 'positive'], ['laptop operation_performance', 'positive'], ['display general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It WORKS!"], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["My house is now 100% Macbook."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The Macbook starts fast, doesn't crash, has a fantastic display, is small and light (I have the 13.3\" model), and isn't always complaining about updates, lost connections, errors, blue screens, etc."], "output": "[['display general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["THIS is what a laptop is supposed to be."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I thought the price was great for the specs."], "output": "[['laptop price', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["But after using it a couple of weeks, the overall operation is poor."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I hate the display screen and I have done everything I could do the change it."], "output": "[['display general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The keyboard is too slick."], "output": "[['keyboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I really don't like it, but I am stuck."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Dell Latitude d620 is not a reliable machine."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The battery never held a charge longer than one hour and within two months, stopped holding a charge for more than ten minutes."], "output": "[['battery operation_performance', 'negative'], ['battery quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Later it held zero charge and its replacement worked for less than three months."], "output": "[['battery quality', 'negative'], ['battery miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The machine is slow to boot up and occasionally crashes completely."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["VERY disappointing:"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I was not aware that this product cannot display websites that contain Flash."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Web access through the 3G network is so slow, it's very frustrating and VERY DISAPPOINTING."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["After purchasing this thing, I find out that I need a special interface device to connect my camera, and that it cannot be purchased at the store - only on line."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["HP Pavilion DV9000 Notebook PC      When I first got this computer, it really rocked."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["But as time went on I found it almost impossible to keep the thing on-line through wi-fi."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Eventually the screen went blank and the computer would not turn on."], "output": "[['display operation_performance', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Guess I'll stay away from HP."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["My MacBook is probably the best investment I have ever made."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I have had it for almost four years now and I have only had a few problems with it."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The most recent being that my Safari internet browser is freaking out on me, but I have just been using firefox instead."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I love this computer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Its small enough where I can take it pretty much anywhere, but still has a big enough screen to get everything done."], "output": "[['display design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The only thing that I don't like about my mac is that sometimes there are programs that I want to be able to run and I am not able to."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Games being the main issue."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It drives me crazy when I want to download a game or something of that nature and I can't play it because its not compatable with the software."], "output": "[['software usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Other than that I don't have one complaint in the world!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}