{"task_type": "generation", "dataset": "semeval-2015", "input": ["This computer is absolutely AMAZING!!!"], "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": ["10 plus hours of battery..."], "output": "[['battery 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": ["super fast processor and really nice graphics card.."], "output": "[['cpu operation_performance', 'positive'], ['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": ["and plenty of storage with 250 gb(though I will upgrade this and the ram..)"], "output": "[['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": ["This computer is really fast and I'm shocked as to how easy it is to get used to..."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 only had mine a day but I'm already used to it..."], "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": ["GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING!!!"], "output": "[['laptop portability', 'positive'], ['cpu 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": ["the laptop was really good and it goes really fast just the way i thought it would of run."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 really recommend to any person out there to get this laptop cause its really worth 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": ["and its really cheap and you wont regret buying it."], "output": "[['laptop price', '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": ["As a computer science student in college, I find that the portability, longevity, and ease of use of this computer make me (shockingly) want to do homework more;"], "output": "[['laptop portability', 'positive'], ['laptop quality', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["without a big ol' clunky machine in my backpack, I feel like I can do programming homework anywhere."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 highly recommend this computer for students looking for a solid machine to get them through college."], "output": "[['laptop miscellaneous', 'positive'], ['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": ["A great feature is the spotlight search: one can search for documents by simply typing a keyword, rather than parsing tens of file folders for a document."], "output": "[['os design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Oh my goodness-I am not a happy camper."], "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": ["My HP is very heavy."], "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": ["Not easy to carry."], "output": "[['laptop portability', '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 has never worked well."], "output": "[['battery quality', 'negative'], ['battery 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 battery gets so HOT it is scary."], "output": "[['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": ["Yet, HP won't do anything about the problem."], "output": "[['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": ["I returned the computer to HP and they kept it for 3 months."], "output": "[['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": ["When I got the computer back and realizwed it still was not correct HP told me it was out of warranty and now it was my problem."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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, you can imagine how unhappy I am with this item."], "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": ["Currently if I use the laptop I can't sit it on my lap because it will burn my legs."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Well, they don't care a bunch."], "output": "[['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": ["But, at the same time they (the company) would not and could not do anything about my problem."], "output": "[['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": ["I would \u00a0say if you want to buy one of these machines be careful."], "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": ["And, if you are going to deal with HP be careful."], "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": ["In my house, HP is a nasty word."], "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": ["Since I purchased my Toshiba netbook, I have been very pleased with it, I have a laptob and a desktop."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 netbook is easier for me to take to bed and carry around with me."], "output": "[['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 screen takes some getting use to, because it is smaller than the laptop."], "output": "[['display usability', 'neutral'], ['display design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 not have any problems."], "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 Notebook PC,Toshiba Qosmio is the best gift my father could have ever gotten 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": ["He gave me this PC about 3 years ago and up to this point im still sitting here using it."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 still going."], "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": ["It is in the best condition and has a really high quality."], "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": ["This is something i would deffinately reccomend to someone."], "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": ["You will not regret buying such a great thing like this!"], "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 can't get any better."], "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": ["Waited on getting this computer, but it has been a great change."], "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": ["Ease of use is just one of the benefits I love about my Mac."], "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": ["This laptop meets every expectation and Windows 7 is great!"], "output": "[['laptop general', 'positive'], ['os 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's fast, it's easy easy easy to set up, easy to hook to my wireless network."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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 even easy to hook up to other wireless networks."], "output": "[['laptop connectivity', '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 battery doesn't last long but I'm sure an upgrade battery would solve that problem."], "output": "[['battery operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 don't use my laptop in a way though that needs a long battery life so it's perfect for me."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Most everything is fine with this machine: speed, capacity, build."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 I don't understand is that the resolution of the screen isn't high enough for some pages, such as Yahoo!Mail."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 it for really cheap also and it's AMAZING."], "output": "[['laptop price', '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": ["Recommended to people as their first laptop."], "output": "[['laptop 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": ["Plain and simple, it(laptop) runs great and loads fast."], "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": ["Easy to carry, can be taken anywhere, can be hooked up to printers,headsets."], "output": "[['laptop portability', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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 already hooked on the sleek look and dependability that this laptop has shown."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Being a PC user my whole life, it's taking a bit of time to adapt to the OS of a Mac but I'm finding my way around."], "output": "[['os usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 unibody design is edgy and durable."], "output": "[['laptop design_features', 'positive'], ['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 LED backlit display makes my pictures pop so much more."], "output": "[['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": ["I'm learning the finger options for the mousepad that allow for quicker browsing of web pages."], "output": "[['mouse design_features', '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": ["A key contributor that led me to Mac is the art aspect."], "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": ["They have developed excellent proprietary software for editing video and pictures and I'm looking forward to utilizing these tools on the regular."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 excited to learn more about what this powerful machine has to offer and encourage others to do the same."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 more expensive but well worth it in the long run."], "output": "[['laptop price', 'negative'], ['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": ["Great product, very easy to use and great graphics."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive'], ['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": ["One drawback, I wish the keys were backlit."], "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": ["I'm glad I bought this laptop, it was worth the few ($100) extra dollars."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 most of the features and all of the power that I wanted to replace my desktop machine."], "output": "[['laptop design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 wasn't really as concerned about portability (it's a very large laptop) but it's not hard to move around or take on a trip which was a pleasant surprise."], "output": "[['laptop design_features', 'neutral'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 very happy with this machine!"], "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 love the size, keyboard, the functions."], "output": "[['laptop design_features', 'positive'], ['keyboard general', '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 don't really have a complaint."], "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 is easy to use, good quality and good price."], "output": "[['laptop usability', 'positive'], ['laptop quality', '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": ["Perfect trifecta!"], "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 would recommend this product."], "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 salesman talked us into this computer away from another we were looking at and we have had nothing but problems with software problems and just not happy with it."], "output": "[['software general', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 my first Dell I heard their customer service was lacking and that they were working on improving it!"], "output": "[['support quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 DVD burner broke after burning 3 DVD'd during that time!"], "output": "[['optical_drives 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": ["They sent me a replacement part and without informing me are requiring that I return it within 15 days or contact them and let them know the broken part will be returned later."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["If this is an improvement in Customer Service then I would hate too see what it was before!"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 spoke to 4 different people and was told they needed to transfer me to a 5th person!"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Needless to say I told them No and have a nice day and hung up!"], "output": "[['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": ["I can guarantee this will be the last Dell I will ever purchase!"], "output": "[['laptop general', 'negative'], ['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": ["Breaking within 1 year of purchase and speaking to 4+ people to report the damaged part will be returned late!"], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 do not recommend this company or their products!!!!"], "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": ["So far, a great product."], "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": ["High price tag, however."], "output": "[['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": ["Still trying to learn how to use it."], "output": "[['laptop usability', '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": ["it is the worst computer dell ever made."], "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 is hard to fix and makes it a hassle to own one."], "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": ["breaks easily."], "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": ["only good thing is the graphics quality."], "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": ["There are so many wonderful features and benefits to the new MacBook!"], "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": ["No Viruses!"], "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": ["This laptop is fast and you will literally learn all you can do with this dynamo by just watching the online tutorials."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 loyal to Apple."], "output": "[['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": ["I am very Happy!"], "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 just keeps having it's hard drive replaced!"], "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": ["Acer won't replace the laptop."], "output": "[['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": ["the manufacturer's warranty only covers replacement/repair of parts."], "output": "[['warranty 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": ["This thing is a lemon."], "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": ["This MacBook is an outstanding product with great value."], "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 ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar- cannot be beat."], "output": "[['laptop usability', 'positive'], ['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Suffice it to say, my MacBook Pro keeps me going with its long battery life and blazing speed."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 does run a little warm but that is a negligible concern."], "output": "[['laptop quality', '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 have had nothing but problems since the day I took it out of the box!"], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 first problem was with the pre-loaded Norton Firewall/Security program."], "output": "[['software 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 would not let me connect to my Wifi system where I lived."], "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": ["It took Toshiba tech support 4 calls and 4 different techs to correct the problem."], "output": "[['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 just the other day, my left \"mouse\" button snapped!"], "output": "[['mouse 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": ["Being only 2 months old, I am not a happy camper!"], "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": ["Buyer Beware."], "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": ["this one, in my opinion, might be a lemon!"], "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 rarely works and when it does it's incredibly slow."], "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 have had to take it to the geek squad guys to get it fixed because it has had viruses 3 times and i have not even had it for more then 4 months!"], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["*IF YOU ARE LOOKING FOR A GOOD LAPTOP, THIS IS NOT IT!"], "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": ["Like the price and operation."], "output": "[['laptop price', '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": ["Some features arent friendly ( volume wheel, sound quality, etc."], "output": "[['laptop usability', 'negative'], ['multimedia_devices usability', 'negative'], ['multimedia_devices quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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, for the cost this is a winner."], "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": ["I absolutely love my 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": ["I can't imagine my life without it anymore!"], "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've haven't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off."], "output": "[['laptop general', 'positive'], ['ports quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 they are defective since they are not securely attached."], "output": "[['ports 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 can barely use any usb devices because they will not stay connected properly."], "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": ["I called Toshiba and they want me to be without my laptop for about two weeks while they look at the problem."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 think I might rather suffer for something that is simple to fix in my opinion."], "output": "[['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": ["I bought this laptop Was the worst Laptop I've ever bought."], "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 spent alot of money on this product and its been a nightmare."], "output": "[['laptop price', '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": ["And having to deal with the company has been a even worse nightmare."], "output": "[['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": ["They sent it back with a huge crack in it and it still didn't work."], "output": "[['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": ["And that was the fourth time ive sent it to them to get fixed."], "output": "[['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": ["Its been a year and am still waiting to see what there going to do about my laptop."], "output": "[['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": ["So if anyones looking to buy a computer or laptop you should stay far far away from any that have the name TOSHIBA on it..."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 saved for this laptop for 3 months and I can tell you personally it was worth the wait."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 display on this computer is the best I've seen in a very long time, the battery life is very long and very convienent."], "output": "[['display general', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 little pricey but it is well, well worth it."], "output": "[['laptop price', 'negative'], ['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 amazing."], "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": ["In the first moth of owning this computer its hardrive failed which had to be replaced."], "output": "[['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 replacing the hard drive the battery stopped working  (3 months of use) which was frustrating."], "output": "[['battery quality', 'negative'], ['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 after 4 or so months the charger stopped working so I was forced to go out and buy new hardware just to keep this computer running."], "output": "[['power_supply quality', 'negative'], ['power_supply operation_performance', 'negative'], ['hardware quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 tip for people looking into this computer: DO NOT BUY IT save up a bit more money and buy a computer that will last."], "output": "[['laptop 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": ["Has a 5-6 hour battery life."], "output": "[['battery 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": ["It is easy to use and lightweight."], "output": "[['laptop usability', '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": ["Was very much worth the price i paid."], "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": ["This netbook went bad on me after 3 days."], "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": ["There is a blank lighted screen when I start and that is all."], "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": ["Three weeks after I bought the netbook, the screen quit working."], "output": "[['display quality', 'negative'], ['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 baby my electronics so I know for a fact it was defective and not anything that I did to it."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Overall I feel this netbook was poor quality, had poor performance, although it did have great battery life when it did work."], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Took the netbook on a vacation trip and I was able to do whatever I wanted to do without lugging a much heavier laptop."], "output": "[['laptop portability', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 So called laptop Runs to Slow and I hate it!"], "output": "[['laptop operation_performance', '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": ["Do not\u00a0 buy it!"], "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 is the worst laptop ever"], "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 image is great, and the soud is excelent."], "output": "[['display quality', 'positive'], ['multimedia_devices 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 love ths notebook."], "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 love the glass touchpad."], "output": "[['mouse 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": ["Easy learning curve."], "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": ["Also the display is exceptional!"], "output": "[['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": ["I have loved this since i took it out of the box."], "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 battery is really long."], "output": "[['battery 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": ["the features are great, the only thing it needs is better speakers."], "output": "[['laptop design_features', 'positive'], ['multimedia_devices general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Small and light weight."], "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": ["Speakers too small to be of any real use."], "output": "[['multimedia_devices design_features', 'negative'], ['multimedia_devices 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": ["Keyboard good sized and wasy to use."], "output": "[['keyboard design_features', 'positive'], ['keyboard 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 like 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": ["Meets my needs perfectly and is light enough for this senior to carry without affecting my arthritis."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Needless to say, not to happy with the product."], "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": ["This is a great machine!"], "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 design is awesome, quality is unprecedented."], "output": "[['laptop design_features', 'positive'], ['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": ["Apparently well-built and gorgeous to look at, the i5 MacBook Pro is a winning combination of price and performance."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 by far one of the greatest investments 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": ["Am very glad I bought it, great netbook, low price."], "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": ["Very good quality and well made."], "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": ["Great pick for portability and affordability."], "output": "[['laptop portability', '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": ["The black model also has a very nice seamless appearance - one of the better looking notebooks I've seen."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 problem is a lack of screen resolutions!"], "output": "[['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": ["If you need an affordable, entry-level laptop, this will fit the bill."], "output": "[['laptop price', 'positive'], ['laptop 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": ["I dislike the weight and size, cubersome."], "output": "[['laptop portability', 'negative'], ['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": ["I dislike the quality and the placement of the speakers."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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": ["Overall, it's ok."], "output": "[['laptop general', '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": ["Laptop is advertised as a 15\" but the casing looks like that of a 17\"."], "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": ["This laptop is very large and barely fits in any carrying cases."], "output": "[['laptop design_features', 'negative'], ['laptop portability', '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": ["Peformance is good for the price."], "output": "[['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": ["If you're not wanting to be mobile, this is a good laptop to sit on a desk."], "output": "[['laptop portability', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Had to have this computer repaired twice in the first 5 months after purchasing it."], "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": ["Not good for a person who gets online daily."], "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": ["May be better for the occasional web surfer."], "output": "[['laptop miscellaneous', '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 just got this laptop for college, and so far I am very happy 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 is so much easier to use"], "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": ["Good keyboard, long battery life, largest hard drive and windows 7."], "output": "[['keyboard general', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['os general', '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": ["And Toshiba is a quality supplier."], "output": "[['support 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 love this little 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": ["The keyboard has a wonderful nature feel."], "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": ["great battery life."], "output": "[['battery 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": ["Keyboard is reasonable size."], "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": ["Small screen somewhat limiting but great for travel."], "output": "[['display design_features', 'negative'], ['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": ["Charger seems large for this class of computer."], "output": "[['power_supply 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": ["Great Laptop for the price, works well with action pack games."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 have, is the key broad is a little dark to see the letters, would help if it was a little lighter then it is."], "output": "[['keyboard design_features', 'negative'], ['keyboard usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 other then that I would give this product a 4 in hafe stars."], "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": ["Good for every day computing and web browsing."], "output": "[['laptop 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": ["A great computer for light home use and business use."], "output": "[['laptop 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": ["Might not make the avid gamer happy but I don't really think that is what this computer is designed for."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Crisp screen, great battery life, and plenty of storage."], "output": "[['display quality', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 happy."], "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": ["He loves it and it is easy to use and well the schools start teaching the kids early about computers so it was easy for him to get started."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 recomend this acer to parents and grandparents it can really help them in school."], "output": "[['laptop 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": ["MY ONLY PROBLEM IS I CAN NOT REG. THE PRODUCT KEY."], "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 WANT TAKE IT, IT KEEP SAYING ERROR."], "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": ["HELP, HELP, OTHER THAN THAT GETS A GREAT LITTLE WONDER."], "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's fast and has excellent battery life."], "output": "[['laptop operation_performance', 'positive'], ['battery 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": ["The screen shows great colors."], "output": "[['display 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 was surprised with the performance and quality of this HP Laptop."], "output": "[['laptop operation_performance', 'positive'], ['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 speed is fine."], "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": ["But with A WAY Bigger Screen, and IS able to connect to an HDMI."], "output": "[['display design_features', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["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 would recommend this computer to anyone searching for the perfect laptop, and the battery life is amazing."], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 LAP TOP AND THE CHARGE TIME DOSEN'T LAST AS LONG AS THEY SAY IT WILL MORE LIKE 2 HOURS"], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 the ideal college companion."], "output": "[['laptop 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": ["It's software and speed enable it to do amazing things."], "output": "[['laptop operation_performance', 'positive'], ['software 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 am not happy at all with the product I purchased."], "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": ["A cheaper price should not equal a \"cheap\" product."], "output": "[['laptop price', 'neutral'], ['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 was over rated!"], "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 Toshiba laptop was a great purchase."], "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 price was very good, and the product is top quality."], "output": "[['laptop price', 'positive'], ['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 delivery was fast, and I would not hesitate to purchase this laptop again."], "output": "[['shipping 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": ["It has easy to use features and all the speed and power I could ask for."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["True quality at a great price!"], "output": "[['laptop quality', '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": ["I am enjoying it and the quality it provides is great!"], "output": "[['laptop general', 'positive'], ['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": ["Toshiba is a great brand, even though I haven't had it for a long time, I am very happy with it!"], "output": "[['company general', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 graphics and clarity, and sharpness are great."], "output": "[['display 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've already recommended this laptop to a friend who eye'd the computer when I took it out of my bag."], "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 like the laptop overall."], "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 only thing i can say is that the touch pad doesnt work like it should all the time."], "output": "[['mouse 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": ["Sometimes you really have to tap the pad to get it to work"], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 little computer for the price."], "output": "[['laptop general', '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": ["Simple to use, and great graphics."], "output": "[['laptop usability', 'positive'], ['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": ["It has everything I would need for a home computer."], "output": "[['laptop 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": ["I'm very impressed."], "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 secure and easy to navigate."], "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": ["It is everything that I would want in a 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": ["Besides the great look, it is a great machine."], "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": ["Once again apple stands alone at the top of the charts."], "output": "[['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": ["I enjoy very much my new Toshiba, purchased specifially for attending online schooling."], "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 found it very easy to use, very imformative, wonder alerts and tutorials making it very easy for someone like me who is not exactly technologically advanced to learn to use the various features and programs."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 found also, it is very easy to be able to access wireless internet access; without having to have extra equipment and/or complicated routes to take to be able to do so."], "output": "[['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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 love the small, convenient size of my laptop, making it a perfect tool for my academic studies."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 very pleased with my purchase!"], "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 laptop serves all my needs."], "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": ["Screen size is perfect for portable use in any environment."], "output": "[['display 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": ["Price and purpose is awesome!"], "output": "[['laptop price', 'positive'], ['laptop 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": ["I have been very pleased with the performance of this laptop."], "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": ["The battery life seems to be very good, and have had no issues with it."], "output": "[['battery 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": ["Great product."], "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 laptop was very easy to set up."], "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": ["Everything was so easy."], "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": ["They were able to set-up with labtops themselves within a few minutes."], "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 works fine with our wireless and they've had not problems."], "output": "[['laptop connectivity', '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's a great product for a great price!"], "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": ["Waited on getting this computer, but it has been a great change."], "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": ["Ease of use is just one of the benefits I love about my Mac."], "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 service I received from Toshiba went above and beyond the call of duty."], "output": "[['support 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": ["My friend reports the notebook is astonishing in performance, picture quality, and ease of use."], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 extremely portable and easily connects to WIFI at the library and elsewhere."], "output": "[['laptop portability', 'positive'], ['laptop connectivity', '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": ["Just what the doctor ordered."], "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 cannot be happier with the service or product."], "output": "[['support general', '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": ["power supply went bad after 2 weeks --"], "output": "[['power_supply 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": ["after much effort and 10 days ASUS replaced it"], "output": "[['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": ["The WiFi is very weak."], "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": ["Summary: Spend your money elsewhere"], "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": ["This is a nicely sized laptop with lots of processing power and long battery life."], "output": "[['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Love it so far."], "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 Toshiba Net book operates very well."], "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": ["The only objection I have is that after you buy it the windows 7 system is a starter and charges for the upgrade."], "output": "[['os miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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 netbook for traveling, and it's great - light, functional, and meets my needs."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 touchpad is extremely sensitive, which is the only drawback."], "output": "[['mouse operation_performance', 'negative'], ['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": ["Otherwise, 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 wasn't really sure I wanted to spend that kind of money!"], "output": "[['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": ["It Was a great deal after all."], "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": ["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 should have bought one a long time ago."], "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": ["Not enough time for me to give it 5 stars!"], "output": "[['laptop general', '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've had the MacBook Pro 15 for about three weeks, and it really is a great computer."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 only had PCs with Windows before so this takes a little getting use to."], "output": "[['os usability', '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": ["The real stand out on this computer is the feel of the keyboard and it's speed."], "output": "[['keyboard quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 fast booting up , shutting down, and connection with the internet."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', '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 one thing I wish it had was a detailed hardcopy manuel."], "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 think the manual is somewhere on the hard drive, but I rather have a hard copy."], "output": "[['laptop miscellaneous', '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": ["If what you need is a machine to do some surfing, email checking, word processing, and watching a movie or two, this is the machine you want."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 priced very reasonable and works very well right out of the box."], "output": "[['laptop price', '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": ["Nice and portable and definitely a decent enough system to keep you entertained while sitting in the airplane for a couple of hours, or at the hotel taking care of some last minute details and documents."], "output": "[['laptop general', 'positive'], ['laptop portability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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/video resolution won't increase to a higher resolution then 1024 x 60"], "output": "[['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": ["That being said, it still runs video in full screen decently."], "output": "[['display operation_performance', '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": ["The sound is a bit quiet if you're on a plane, this can easily be overcome with a decent pair of head phones."], "output": "[['multimedia_devices quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Bottom line, I doubt you'd be overly disappointed if you invest in this machine."], "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": ["Yes, I thought the expese was a little much, but I now realize you get what you pay for."], "output": "[['laptop price', 'negative'], ['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 love my Apple, it is quick and easy to use."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 had to call Apple support to set up my new printer and have had wonderful experiences with helpful, english speaking (from Vancouver) techs that walked me through the processes to help me."], "output": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 say enough of how satisfied I am with their product and help aftermarket."], "output": "[['laptop general', 'positive'], ['support 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": ["Money and time well spent!"], "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": ["Highly recommended!"], "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 13\" Macbook Pro just fits in my budget and with free shipping and no tax to CA this is the best price we can get for a great product."], "output": "[['laptop price', 'positive'], ['shipping price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 arrived in a nice twin packing and sealed in the box, all the functions works great."], "output": "[['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Speakers doesn't sound that great."], "output": "[['multimedia_devices 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": ["Love the speed, especially!"], "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": ["So glad I decided to upgrade!"], "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've owned this labtop for less then two months, already the mouse button has broke."], "output": "[['mouse 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": ["Still under warrenty so called Toshiba, no help at all."], "output": "[['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": ["I'm stuck w/ a broken computer."], "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": ["Will not buy another Toshiba, this is my second, not happy w/ either."], "output": "[['laptop general', 'negative'], ['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 love its solid build, light wt and excellent battery life (for now)."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Excellent LED monitor and well equipped."], "output": "[['display design_features', '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": ["I love the Apple products."], "output": "[['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 Toshiba Mini Notebook, Model NB 305-N410BL, is a great little 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": ["It is easy to use, its keyboard easily accommodates large hands, and its weight is fantasic."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Upgrading from Windows 7 Starter, thru Windows 7 Home Premium, to Windows 7 Professional was a snap;"], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["both upgrades were quickly accomplished after purchasing the necessary Product Key."], "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": ["Other installed features, such as certain printer software, are also most attractive."], "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": ["Ever since I bought this laptop, so far I've experience nothing but constant break downs of the laptop and bad customer services I received over the phone with toshiba customer services hotlines."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 constantly had to send my laptop in for services every 3 months and it always seems to be the same problem that they said they had already fixed."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Toshiba customer services will indirectly deal with your problems by constantly tranferring you from one country to another, and I am not kidding you, I called different hours of the day and you'll get someone else from another country trying to get you to tell them your life story all over again, since they make it sound like they don't have your history list of your calls right in front of them."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 a long and tirring process that after a while it seems like their game plan was to wear you out so you would want to give up on contacting them."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 at one point, they blame me for installing a bad memory stick when I upgrade my memory for the first time during my purchase of the laptop (I bought the memory stick they recomended)."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Long story short, since I experience so many problems with my laptop every since I bought it from day one, I didn't ask for a new laptop or a refund of what I pay for a crapy laptop, but just an extension of my laptop warranty for another year, they made a big deal of out that and after so many calls and complaints about their products and services, they finally gave in."], "output": "[['laptop quality', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Was this product worth my time and money to ever want to purchase another products that is toshiba or relating to toshiba?"], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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'll rather be out of date then spend more money on toshiba."], "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": ["Remember to do your research first before consider buying a toshiba product."], "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": ["All I can say is W-O-W."], "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 laptop is insane!!!"], "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's so nice to look at and the keys are easy to type with."], "output": "[['laptop design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 a protector for my key pad and it works great :)"], "output": "[['keyboard 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 definitely a computer worth the money;"], "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": ["The mouse is a little bit different than what you're used to though- it has one big flat panel and one full bar (instead of two separate ones) to click with- but you get used to it quite quickly."], "output": "[['mouse design_features', 'neutral'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 the best part is that it even comes with a free printer (when they have a certain promotion/offer going, of course)!"], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Overall, this laptop is definitely a keeper with its simple yet stylish design and its array of fantastic colors to choose from."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 Apple team also assists you very nicely when choosing which computer is right for you :)"], "output": "[['support 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": ["Obviously, this Macbook is P-E-R-F-E-C-T for me because it does exactly what I need in an easy-to-function way."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["DEFINITELY recommended!!!"], "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": ["Not a bad laptop, it's a bit slow, but gets the job done."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 lcd screen stopped working on mine after 10 months."], "output": "[['display quality', 'negative'], ['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 could not find a phone number anywhere to call an actual live person for tech support and had to result the their online chat."], "output": "[['support miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["upon giving them the serial number the first thing I was told, was that it was out of warranty and I could pay to have it repaired even though I had the receipt in front of me proving it still had 2 months left on the warranty."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 though I had the receipt in front of me proving it still had 2 months left on the warranty."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Dealing with the support drone on the other end of the chat was sheer torture."], "output": "[['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": ["English must have been his third or fourth language."], "output": "[['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": ["His language was so bad I swore I was taking the turing test, and it was failing."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 trying to get some help he disconnected on me."], "output": "[['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": ["After 4 days, being denied 6 times and told off once, I managed to get through and was able to send them a scanned copy of the receipt."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 they had me jump through many hoops and questions to see if they could find another way to invalidate me."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 they found no other way, they told me to courier it to them(since they don't allow the use of the post office) at my expense, and sent me a 4 page list of very specific packaging instructions to follow or it wouldn't be covered."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 managed to comply with these too and now have to wait and see if they can find another way to screw me."], "output": "[['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": ["They really do have the worlds very worst repair service."], "output": "[['support 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": ["This computer gets very hot, before shutting down."], "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 is not ideal for children because of the temp."], "output": "[['laptop quality', 'negative'], ['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 Contacted HP\u00a0\u00a0about this situation and was given excuses, without results."], "output": "[['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": ["They didn't even try to assist me or even offer a replacement."], "output": "[['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": ["I will never purchase a HP again ever."], "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": ["Let's just get this out of the way, I love Apple!"], "output": "[['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": ["But the Macbook is the best!"], "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 is super easy to use."], "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": ["All you have to do is turn it on and it works."], "output": "[['laptop usability', '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": ["It is very durable, I am pretty rough when it comes to electronics and it has taken it all with no reprecutions yet."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 don't do any high tech stuff on it, just write papers, check mail, and sometimes play games, so I can't reccomend it if you are in the computer field."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 the past four years I've had it I have never once gotten a virus."], "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": ["I did have to replace the battery once, but that was only a couple months ago and it's been working perfect ever since."], "output": "[['battery quality', 'neutral'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 reccomend this if you are in the market for an easy to use, stylish, fun, awesome computer."], "output": "[['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 it is very good for college students who just need a reliable, easy to use computer."], "output": "[['laptop miscellaneous', 'positive'], ['laptop quality', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 does everything I need it to very well."], "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 best thing about this laptop is the price along with some of the newer features."], "output": "[['laptop price', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 bright and the keyboard is nice;"], "output": "[['display quality', 'positive'], ['keyboard 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 find myself using the 10-key more than I thought I would."], "output": "[['keyboard design_features', 'positive'], ['keyboard 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": ["Battery is lasting about 6 hours as I am surfing the web on Sundays while checking football scores and watching funny Youtube videos."], "output": "[['battery operation_performance', '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": ["For those that care about noise this thing doesn't really make any;"], "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 i3 processor doesn't seem to run hot and the fan rarely turns on."], "output": "[['cpu 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 took off a star because the machine has a lot of junk software on it."], "output": "[['laptop design_features', 'negative'], ['software general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 wish Toshiba would allow their customers to select an option that only boots the OS at setup and removes all the unnecessary stuff."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Once I removed all the software the laptop loads in 15-20 seconds."], "output": "[['software general', 'negative'], ['laptop operation_performance', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 not a serious gaming laptop or a serious media machine;"], "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": ["my niece and nephew have played a few web games and it runs anything that doesn't require a dedicated video card."], "output": "[['laptop miscellaneous', 'neutral'], ['graphics design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Overall I am very satisfied with the purchase."], "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": ["Great, quick laptop for the money."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['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": ["Right size and weight for portability."], "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": ["Battery life needs more life."], "output": "[['battery 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": ["Battery is not upgradable to a longer life battery."], "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": ["I love everything about 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 only downfall is the battery only last 1.5-2.0 hrs when not plugged in."], "output": "[['battery 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 would like at least a 4 hr. battery life."], "output": "[['battery 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": ["Otherwise, all other features are a 1"], "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": ["This mac is great!"], "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": ["lightweight, long battery life, excellent transition from PC;"], "output": "[['laptop design_features', 'positive'], ['battery operation_performance', 'positive'], ['laptop 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": ["THIS HAS BEEN NOTHING BUT A HEADACHE SINCE WE PURCHASED IT."], "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 will NEVER buy (Refurbished) again, I don't cae how cheap it is."], "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": ["Just don't waste your time and money on this."], "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 tried giving it 0 stars but I had to choose at least one, but IMO NO STARS"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Summary: Dont buy 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": ["If you buy, pray you dont have major prolems."], "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": ["Runs Hot"], "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 thought we were paying for quality in our decision to buy an Apple product."], "output": "[['company general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 a little more than a year of owning my MacBook Pro, the monitor has completely died."], "output": "[['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": ["This purchase opened me to the world of Macbooks, and I am impressed with the intuition of the design, the beauty of the product, and the excellent technological advances associated with it."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 2 of my nephews were going into music and both fell in love with the MacBook Pro."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Now they are believers in the product."], "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 is easy to use, has great screen quality, and every so light weight."], "output": "[['laptop usability', 'positive'], ['display quality', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 little netboook is helping me get work done!"], "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 homeschool my kids and with this netbook next to my desk we get to teaching and illustrating without skipping a beat."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 first time Mac Buyer and am amazed at features and ease of use the Mac offers."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 it for my mom and she reports that the battery life lasts all day for her, it's very lightweight, and the response for the computing she's doing (Internet focused activity: mail, research, etc.) is excellent;"], "output": "[['battery operation_performance', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop 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 overall build quality of the unit is excellent and she'd recommend it to anyone else looking for a netbook."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["If you're looking for something to fly through those massive spreadsheets or play a graphics-intensive game, you'd be better off getting a machine aimed at that segment of the market."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["previous laptops were pc's, still have them, but the mac osx is a clean and smooth operating system."], "output": "[['os design_features', 'positive'], ['os operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["still testing the battery life as i thought it would be better, but am very happy with the upgrade."], "output": "[['battery operation_performance', 'neutral'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Probably as good as you can get in a netbook, does everything I ask for and has some very good unexpected pluses."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Has met or exceeded my needs for a compact travel device."], "output": "[['laptop portability', '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": ["So far, so good!"], "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've been impressed with the battery life and the performance for such a small amount of memory."], "output": "[['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 don't understand why only Windows 7 Starter is included."], "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": ["Strong performance in this device makes use of fun and a strong sense of the era of speed"], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 device serves all modern requirements is a very strong game and is very useful for designers."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Enjoy that Toshib force and durability unparalleled"], "output": "[['laptop operation_performance', 'positive'], ['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": ["Needs longer lasting battery, More than 1 to 2 Hrs."], "output": "[['battery 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": ["Needs Power and Mouse Cable to Plug in back instead of side, In the way of operating a mouse in small area."], "output": "[['mouse operation_performance', 'neutral'], ['mouse 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": ["For the use it was purchased for it is a good Laptop."], "output": "[['laptop 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": ["Comfterbale to use light easy to transport."], "output": "[['laptop usability', '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": ["I love this product because it is Toshiba and its 15.6\"."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 no camera but, I can always buy and install one easy."], "output": "[['laptop design_features', '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 had a USB connect but, i can't use it because it is not compatible."], "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": ["That's the downside for me."], "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": ["But, I would recommend this product."], "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": ["Satisfy what I paid for it."], "output": "[['laptop general', '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": ["Good monitor and performed well."], "output": "[['display general', '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 am using the external speaker- sound is good."], "output": "[['multimedia_devices 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": ["Best thing is I can use existing 32 bit old programs."], "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": ["I recommend for word processing and internet users."], "output": "[['laptop 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 games included are very good games."], "output": "[['software 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 would highly recommend this one to my friends"], "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 bought this laptop because of the performance to price ratio."], "output": "[['laptop operation_performance', '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": ["It works great for general internet use, Microsoft Office apps, home bookkeeping, etc."], "output": "[['laptop 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": ["It doesn't have a lot of frills, but I didn't need any, and being able to buy what I needed, and not more than I needed was very important."], "output": "[['laptop design_features', 'neutral'], ['laptop 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": ["This computer I used daily nice compact design."], "output": "[['laptop design_features', '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": ["Excellent speed for processing data."], "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": ["And if you are a game player it works with World Of Warcraft wonderfully."], "output": "[['laptop 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": ["All in all great item highly recommend 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 would have to say that overall its great!"], "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": ["Aside from the trial software and the short battery life, lack of a webcam, its great."], "output": "[['software miscellaneous', 'negative'], ['battery operation_performance', 'negative'], ['laptop design_features', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Fast, great visual!"], "output": "[['laptop operation_performance', 'positive'], ['display 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": ["Oh yea, has no numeric pad on the side."], "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": ["2nd Best computer in the world  only one way this computer might become the best is that it needs to upgreade patches  to make less easier for people to hack into"], "output": "[['laptop general', 'positive'], ['laptop quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 favorite part of this computer is that it has a vga port so I can connect it to a bigger screen."], "output": "[['laptop design_features', 'neutral'], ['laptop connectivity', '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 wifi too."], "output": "[['laptop connectivity', '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 a little glary, and I hated the clicking buttons, but I got used to them."], "output": "[['display quality', 'negative'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Overall for the money this is a good deal."], "output": "[['laptop general', '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": ["There is no number pad to the right of the keyboard which is a bummer."], "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": ["The speakers are terrible and are probably the cheapest ones I have ever seen in a laptop so if your planning to listen to music I suggest you get something better."], "output": "[['multimedia_devices general', 'negative'], ['multimedia_devices quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["while the keyboard itself is alright, the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons."], "output": "[['keyboard general', 'neutral'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 overall very pleased with my toshiba satellite, I like the extra features, I love the windows 7 home premium."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['os general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 life has not decreased since I bought it, so i'm thrilled with that."], "output": "[['battery operation_performance', 'positive'], ['battery quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 love the design, the looks, the feel, and the my toshiba feature is wonderfull."], "output": "[['laptop design_features', 'positive'], ['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": ["I would easly reccomend this laptop to a friend."], "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": ["Couldnt not use it."], "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": ["Tried to make a recovey disk wouldnt get passed the first recovery disk."], "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": ["defective software."], "output": "[['software 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": ["returned it to walmart."], "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 would like to have volume buttons rather than the adjustment that is on the front."], "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": ["I also had a problem with the touchpad that caused the mouse pointer to jump all over the screen."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 went to Toshiba online help and found some suggestions to fix it."], "output": "[['support 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": ["One of them seems to have worked."], "output": "[['support 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": ["Its a good laptop for its value."], "output": "[['laptop general', '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": ["Registration/1st use is easy."], "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": ["Features like the font are very block-like and old school."], "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": ["Would like more trendy, high tech features."], "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": ["The start menu is not the easiest thing to navigate due to the stacking."], "output": "[['os 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": ["Keys stick periodically and I havent had the laptop for 45 days yet."], "output": "[['keyboard operation_performance', 'negative'], ['keyboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Came fully loaded - good."], "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": ["Seems to slow down occassionally but can run many applications (ie Internet tabs, programs, etc) simultaneously."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 really impressed with the quality and performance for the price of the computer."], "output": "[['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Graphics are clean and sharp, internet interfaces are seamless."], "output": "[['graphics quality', 'positive'], ['laptop connectivity', '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": ["Only issue is that it is a little slow, and I'm fixing that by adding more RAM."], "output": "[['laptop operation_performance', 'negative'], ['memory design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Sound card is limited though."], "output": "[['multimedia_devices 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 laptop is very lightweight, can easily carry around in a knapsack full of text books and it barely adds any weight."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 small enough to fit in one of my purses!"], "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": ["Windows 7 Starter is terrific (no you can't change the background) but I don't need to, I use it just for school work."], "output": "[['os general', 'positive'], ['os usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 life is amazing, the versitility is outstanding."], "output": "[['battery operation_performance', '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": ["The ease of set up was terrific."], "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": ["I was even able to uninstall McAffe and install one of my Symantec licenses with a no issues whatsoever."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 adjust my mousepad sensitivity, because it is very sensitive."], "output": "[['mouse 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 is great, very quiet for all the typing that I do."], "output": "[['keyboard general', 'positive'], ['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": ["Screen is crystal clear, yes it's small - but it's a netbook!"], "output": "[['display quality', 'positive'], ['display design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 laptop and the perfect size to carry around in college."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 couldn't believe how long the battery lasted on a single charge."], "output": "[['battery 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 loaded windows 7 via Bootcamp and it works flawlessly!"], "output": "[['os 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": ["Simply amazing 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": ["I really like the Mac 15.4in. Notebook, but its very pricey."], "output": "[['laptop general', 'positive'], ['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": ["Love the graphics, awesome programs (including Garageband), and really cool default background."], "output": "[['graphics general', 'positive'], ['laptop design_features', 'positive'], ['software 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, like I said before, the only reason I don't currently have a Mac laptop is because all of their laptops are too pricey."], "output": "[['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Waiting for the i7 was well worth it, great value for the price."], "output": "[['laptop general', '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": ["Bigger HD, better graphics card, and a bid HD."], "output": "[['hard_disc design_features', 'positive'], ['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": ["There is nothing to complain about the system."], "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 used PC's and converting to this MacBook Pro was easy."], "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": ["If you have the money I suggest going for the i7."], "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 occassionaly use it for work via VPN and it has not given me any problems."], "output": "[['laptop 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 screen is nice and the images comes very clear, the keyboard and the fit just feels right."], "output": "[['display general', 'positive'], ['display quality', 'positive'], ['keyboard quality', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 consider myself an average user and this computer serves my need."], "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 price is another driving influence that made me purchase this laptop."], "output": "[['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": ["I'ts nice to have the higher-end laptops, but this fits my budget and the features I need."], "output": "[['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "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 normally dont participate in reviews/surveys but this laptop has not given me any problems and hope to share my thoughts..."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["another satisfied customer."], "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 apple MacBook is the best investment that 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": ["The newer MacBook that I have purchased is one of the best computers."], "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 am a college student and it has been very useful."], "output": "[['laptop 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": ["It has all the features that are necessary for college and if not they are able to be added onto the computer."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['laptop 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": ["It has a lot of memory and a great battery life."], "output": "[['memory design_features', 'positive'], ['battery 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": ["It is sleek and lightweight and charges quickly when needed."], "output": "[['laptop design_features', 'positive'], ['battery 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": ["Its white color is stylish for college students and easy to take to carry and take to classes."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Iphoto is great for adding pictures right to facebook and other social networking sites."], "output": "[['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 internet capabilities are also very strong and picks up signals very easily."], "output": "[['laptop connectivity', '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 to shut down the computer unexpectedly and the computer has never froze on me."], "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": ["The screen is bright and vivid and the keyboard is very easy to use, very important for use quick typers."], "output": "[['display quality', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Overall, this is a wonderful computer and definitly worth the purchase!"], "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 graphics are stunning."], "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": ["It's wonderful for computer gaming."], "output": "[['laptop 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": ["I would definitely suggest this laptop!"], "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 is very user friendly and not hard to figure out at all."], "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 has many great programs, such as ILife, iPhotos and others."], "output": "[['laptop design_features', 'positive'], ['software 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": ["iLife is easily compatible with Microsoft Office so you can send and receive files from a PC."], "output": "[['software usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 addition, all the design tools on Pages and Keynotes makes it much easier to create professional looking documents and presentations."], "output": "[['software design_features', 'positive'], ['software usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 comes in very handy for me as an educator."], "output": "[['software 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": ["iPhotos is an excellent program for storing and organizing photos."], "output": "[['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": ["It allows you to automatically upload photos to your Facebook account with one click."], "output": "[['software 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": ["In addition, there is photo detection software that will allow you to group all the photos together based upon the people in the picture."], "output": "[['software design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["If you are looking for something reliable, this is the laptop for you."], "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": ["This computer was awful!"], "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 will never buy another computer from Dell ever again do to how awful it worked and how I was treated by the company."], "output": "[['company general', 'negative'], ['laptop operation_performance', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 computer first started malfunctioning 3 months after purchasing it."], "output": "[['laptop operation_performance', 'negative'], ['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 does not keep internet signals no matter where you bring it."], "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": ["The system it comes with does not work properly, so when trying to fix the problems with it it started not working at all."], "output": "[['os quality', 'negative'], ['os 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": ["When calling Dell for help, reurn, or a new computer they were not useful and left it up to myself to figure out what to do with it."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 year of trying to fix the computer by myself, with help of friends, and even help from computer experts I have given up on trying to fix it."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 was awful, I would never recomend it to another person."], "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": ["Those moments in thime where you want to throw something against the wall?"], "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": ["Yeah, I wanted to throw that lap top out the window and light it on fire."], "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": ["That's how frustrating it was."], "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 is well worth the money it cost, Very good investment."], "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": ["The new Macbook Pro 15 inch i7 is nothing short of amazing."], "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 speed is incredible and I am more than satisfied."], "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": ["BOUGHT FROM WAL-MART, I BELIEVE THAT THIS LAPTOP WAS A REPAIRED ITEM."], "output": "[['laptop miscellaneous', '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": ["THIS LAPTOP WAS BAD FROM THE FIRST DAY OF USE----BROUGHT IT BACK TO STORE FOR RETURN OF MONEY."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["NOW AM VERY APREHENSIVE ABOUT TOSHIBA LAPTOPS."], "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": ["WILL NOT EVERY BUY ANOTHER--------LOU"], "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": ["This is a great value for the money."], "output": "[['laptop general', '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": ["This is a great 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": ["We haven't had any problems with it at all."], "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 body is a bit cheaply made so it will be interesting to see how long it holds up."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Overall though, for the money spent it's a great deal."], "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": ["But let me tell you, the mac book pro is so professional."], "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 very nice and once you learn the features you will be so happy to have such a sophisticated computer."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["For example, when my husband turns the light out while I'm on the computer. the screen brightness automatically adjusts."], "output": "[['display design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 easy to type on and feels great - besides the added feature that the keyboard is lighted."], "output": "[['keyboard usability', 'positive'], ['keyboard quality', 'positive'], ['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Oh, it is such a great piece of equipment."], "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 Office compatible, but the features and its functioning is all new again so you might as well save the money and just learn the pre installed mac programs."], "output": "[['software usability', 'positive'], ['software design_features', 'neutral'], ['software operation_performance', '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 get a ton of compliments on its size, and speaking as someone who regularly commutes on a bus, I can attest to the fact that this is the perfect size computer if you're restricted to the width of your body for computing room."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 long-life battery (up to 10-11 hours depending on how you configure power level settings)."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 upgraded the memory and replaced the base Windows 7 Starter to Win 7 Home, and it runs just fine."], "output": "[['laptop usability', 'neutral'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 play a lot of casual games online, and the touchpad is very responsive."], "output": "[['mouse 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 wouldn't play a first-person shooter with this, mind, but if you wanted to run MS Office, email, chat, download a video, listen to music from a certain fruit-named music store, and were looking for a highly portable yet powerful netbook to do that all in, I'd highly recommend checking this out."], "output": "[['laptop portability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 downside to this netbook is pretty much the same for any netbook: screen size is not something I'd stare at for the entire 10-11 hours of battery life five days a week."], "output": "[['display design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Additional caveat: the base installation comes with some Toshiba-specific software that may or may not be to a user's liking."], "output": "[['software design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 from the design to the OS is simple and to the point."], "output": "[['laptop design_features', 'positive'], ['os general', '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": ["LOVE IT LOVE IT 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": ["It really is perfect for work and play."], "output": "[['laptop 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": ["I am able to play 720p and 1080p media files just fine with it."], "output": "[['laptop 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": ["Everything I have tried has worked and I never have to carry the wall charger cause the battery is so awesome."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 isn't perfect about this netbook is the speakers, they are not loud at all but I expected that."], "output": "[['multimedia_devices quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 upgraded it's RAM to 2GB, I am very happy with it."], "output": "[['laptop general', 'positive'], ['memory design_features', '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": ["lots of preloaded software."], "output": "[['laptop design_features', '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": ["the only problem is that i had to add 1 gb RAM, the computer was kinda slow."], "output": "[['memory design_features', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["tosiba has a good reputation, my llast computer was an acer."], "output": "[['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": ["this is starting off good."], "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": ["What a great little laptop."], "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": ["Maybe not the cutting edge (Satellite L455D) but it is a workhorse."], "output": "[['laptop design_features', 'neutral'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 it to use in college and it is perfect."], "output": "[['laptop 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": ["I dual boot with Linux and that other security-prone OS and it performs flawlessly."], "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 made a perfect decision when I bought the Toshiba!"], "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": ["Excellent product for the money."], "output": "[['laptop general', '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": ["No problems, no lock ups, no disappointments."], "output": "[['laptop operation_performance', '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": ["Not super fancy, but not super expensive either."], "output": "[['laptop design_features', 'neutral'], ['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": ["Highly recommend for daily use."], "output": "[['laptop 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 Computer itself is a good product but the repair depot stinks."], "output": "[['laptop general', 'positive'], ['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": ["I have had to send in my laptop three times to get it fixed."], "output": "[['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": ["Toshiba does not send any one out unless you have paid extra to have the on site repair done."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 tell the technician I knew\u00a0exactly\u00a0what was wrong with it but they did not listen and I had to go through a bunch of junk to get them to tell me I needed to send the computer in."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 that I have has had issues with the keyboard where it lost half the keyboard functions."], "output": "[['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["As well as having the plug in the computer come loose."], "output": "[['power_supply 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": ["So having the AC plug go out on me and get lose or I could actually here it inside my computer on two of the three times is not good."], "output": "[['power_supply quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 still seems to be a little lose now but so far seems to be hanging in there."], "output": "[['power_supply quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 Mac Book Pro performs flawlessly."], "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": ["Never had a single problem, and don't have to worry about viruses."], "output": "[['laptop general', 'positive'], ['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": ["While I mostly use it for email, internet and gaming, I'm confident all other applications live up to the high standard I've come to appreciate from Mac laptops."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Worth the investment and truly a fine piece of equipment."], "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": ["Right out of the box, this little netbook did everything I asked of it, including streaming the everyday video you're bound to encounter checking mail and websites (my biggest complaint previously)."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 even has a great webcam, and Skype works very well."], "output": "[['laptop design_features', 'positive'], ['multimedia_devices general', 'positive'], ['software operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 fact that you can spend over $100 on just a webcam underscores the value of this machine."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 Windows 7 Starter is, in my opinion, a great way to think about using your netbook: basics, basics, basics."], "output": "[['os 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 wiped nearly everything off of it, installed OpenOffice and Firefox, and I am operating an incredibly efficient and useful machine for a great price."], "output": "[['os general', 'negative'], ['laptop price', 'positive'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 netbook is a perfect supplementary computer to another laptop or desktop (my wife and I have another laptop), or if you are a user who uses the computer for simple tasks."], "output": "[['laptop 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": ["I use this for my tutoring business, and since I'm always bouncing from student to student, it is ideal for portability and battery life (yes, it gets the 8 hours as advertised!)."], "output": "[['laptop portability', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["ASUS has done an outstanding job of evolving their netbooks, and I would recommend this to anyone who both understands their needs and how netbooks can fit them."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["little short on RAM but you get what you pay for."], "output": "[['memory design_features', '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": ["the hinge design forced you to place various connections all around the computer, left right and front."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic, not to mention the laptop was designed for right handed person."], "output": "[['ports design_features', 'negative'], ['mouse usability', 'negative'], ['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Cords coming out the right for power plus cords coming out front for headphones/mic plus network connection on left make for a very messy setup with cords going every direction."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 windows 7 but i can't give Toshiba any credit for that, unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time."], "output": "[['os general', 'positive'], ['laptop usability', 'negative'], ['laptop design_features', 'negative'], ['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 was happy with My purchase of a Toshiba Satellite L305D-S5934 laptop until it came time to have it repaired under the Toshiba Warranty."], "output": "[['laptop general', 'positive'], ['support 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 computer was shipped to their repair depot\u00a0 on june 24 and returned on July 2 seems like a short turn around time except the computer was not repaired when it was returned."], "output": "[['shipping quality', 'positive'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["They were totally unconcerned that the computer was not correctly repaired in the first place."], "output": "[['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": ["The computer is currently in West Verginia doe to the method of shipping choosen by Toshiba."], "output": "[['shipping 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 computer could have been shipped by Priority Mail through the USPS for the same cost and arrived by Noon on Tue."], "output": "[['shipping quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Instead it is sitting in West Verginia waiting for UPS to take two days to send Me a box and Two days for them to ship the computer some 691 miles by air? to Louisville Ky."], "output": "[['shipping quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 Toshiba is totally unconcerned."], "output": "[['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": ["The reaction of Toshiba is there is nothing you can do about it so just sit back and except the fact that you are powerless and it is mind over matter."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 don't Mind and You don't Matter."], "output": "[['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": ["I would not recommend the purchase of this modle of Toshiba Computer or any Toshiba product for that matter."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["When it come time for warranty service to Toshiba you don't matter."], "output": "[['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": ["Windows Vista makes this computer almost unusable for online service."], "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've tried going back to XL but there still problems."], "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": ["The technical service for dell is so 3rd world it might as well not even bother."], "output": "[['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": ["Just a bunch of idiots who's English as a 5th language is forced at best."], "output": "[['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": ["I'm all for saving money but Dell needs to step it up."], "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": ["Good price."], "output": "[['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": ["Basic computer."], "output": "[['laptop miscellaneous', '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": ["Didn't work when shipped from Walmart.com but went into a store and exchanged for a working laptop (same make/model)."], "output": "[['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 worked fine."], "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": ["Handles all my basic media needs easily."], "output": "[['laptop 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": ["Can listen to my music and watch my videos with ease and with a great display."], "output": "[['display general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 speedy when connected wirelessly to any network regardless if the connection is weak or not."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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 a great prodcut to handle basic computing needs."], "output": "[['laptop 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": ["It has served my needs quite nicely for the most part."], "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 2 GB of RAM is plenty, able to run Windows 7 and at least 2 or 3 other programs with next to no slowdown."], "output": "[['memory design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 one complaint with this laptop is that I've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in."], "output": "[['ports quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 likely due to poor grounding and isolation between the components, and I'm hoping that it can be fixed with a ground loop isolator, but I still expected better product quality for this price range."], "output": "[['hardware quality', 'negative'], ['laptop price', '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 would recommend this to someone in need of a cheap laptop with semi-decent gaming capabilities."], "output": "[['laptop price', 'positive'], ['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Let me start with the good:So awesome."], "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": ["Great OS, fabulous improvements to the existing line bumping up the processor speed and adding the thunderbolt port."], "output": "[['os general', 'positive'], ['cpu 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 one has had the same effect."], "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 improvements to the OS have been relatively gradual, but substantive."], "output": "[['os 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 Unibody construction is solid, sleek and beautiful."], "output": "[['laptop design_features', 'positive'], ['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": ["It is everything I'd hoped it would be from a look and feel standpoint, but somehow a bit more sturdy."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["For the not so good, I got the stock screen - which is VERY glossy."], "output": "[['display miscellaneous', '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": ["It's still beautiful and has better color reproduction than I could ever expect from a notebook."], "output": "[['display design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 reflectiveness of the display is only a minor inconvenience if you work in a controlled-lighting environment like me (I prefer it dark) or if you can crank up the brightness."], "output": "[['display quality', 'neutral'], ['display usability', '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": ["The statement of 7 hour battery life is not just mere exaggeration -- it's a lie."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 challenge anyone to show proof that through anywhere near normal use can get more than 2.5 hrs out of it."], "output": "[['battery operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 first full charge of this battery got me only about 2 full hours."], "output": "[['battery 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": ["Enabling the battery timer is useless."], "output": "[['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 \"Time remaining\" goes from 4 hours plus to less than 2 hours over the span of about 10 minutes."], "output": "[['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": ["It's so bad that I'm thinking I only got half a battery or something."], "output": "[['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": ["I know what 7 hrs of battery looks like."], "output": "[['battery 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": ["My only other complaint is that it gets really hot.:-)"], "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": ["If you buy this - don't go into it expecting 7 hrs of battery life, and you'll be perfectly satisfied."], "output": "[['battery operation_performance', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 pro is a great product, I wish that the 13 inch models came with the Intel i processors and had a more comfortable edge (the edges hurt my wrists)."], "output": "[['laptop general', 'positive'], ['cpu miscellaneous', 'neutral'], ['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 its a great performing machine and well meets all my needs and more."], "output": "[['laptop operation_performance', '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": ["Great product by Apple with the new great looking design."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 actually had the hard drive replaced twice, the mother board once, the dvd drive twice, then they FINALLY agreed to replace it, (ALL OF THIS IN LESS THAN 1 1/2 YEARS!)only to get another \"HP/Compaq\" piece of crap."], "output": "[['hard_disc quality', 'negative'], ['motherboard quality', 'negative'], ['optical_drives quality', 'negative'], ['support quality', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 slow, locked up, and also had hardware replaced after only 2 months!"], "output": "[['laptop operation_performance', 'negative'], ['hardware 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": ["So, buyers beware!"], "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 is made better, thicker, and all out tough!"], "output": "[['laptop quality', '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": ["I droped this once from thetable when my baby girl grabed me one day and IT is still working with NO issues!"], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 the easy to see screen, and It works well for work, persoal or just play."], "output": "[['display usability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 tell everyone I see out looking to get this or another Toshiba."], "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 friends or children use that when they need to borrow the Net =) When I out grow this Meaning when its old and my oldest child is ready for one she will get this one ANd I will be buying only TOSHIBA!"], "output": "[['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 just love this lap top, I just wish it were all silver or they had all black."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["That is my only complaint!"], "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": ["LOVE THIS LAPTOP WONDERFUL PRICE FOR WHAT YOU GET!"], "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": ["WOULD PAY MORE FOR IT IF I HAD TOO!"], "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": ["I recently purchased the mini and absolutely 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": ["It meets all my needs for work and pleasure while traveling."], "output": "[['laptop miscellaneous', '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 am totally satisfied with my little toshie!"], "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": ["From the moment I opened the box to the present it has been a great joy."], "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 is always reliable, never bugged and responds well."], "output": "[['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 love the operating system and the preloaded software."], "output": "[['os general', 'positive'], ['software 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 machine delivers."], "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": ["It is also extremely pleasing to the eyes without looking too much like an Alienware gaming machine."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 a bit heavy."], "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": ["It would be a load on long trips where a lot of walking is required."], "output": "[['laptop portability', '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": ["Had some trouble finding a case that it would fit in."], "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": ["This is an over-sized, 18-inch laptop."], "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": ["It wouldn't fit in most 17-inch bags."], "output": "[['laptop portability', '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 disappointed when I realized that the keyboard doesn't light up on this model."], "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": ["It also does not have bluetooth."], "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": ["You'll need to upgrade and pay a little more for them."], "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": ["I was looking too closely at the other performance specs and while comparing, I took it for granted that these features were standard."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Overall, still a very nice machine."], "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": ["Boots up fast and runs great!"], "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'm pleased."], "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 acer one compuer is a great 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": ["I didn't want to buy a generic brand computer but it is really nice."], "output": "[['laptop general', 'positive'], ['company general', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 fast, has High definition quality in the videos."], "output": "[['laptop operation_performance', 'positive'], ['display 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 pictures are clear as can be."], "output": "[['display 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": ["If I had to buy another computer, I would most definetly buy an acer one computer."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Heck, if I had enough ' money, I would but it as a gift for someone."], "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": ["Im glad that it has such great features in it."], "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": ["It also came with a built it web cam which is great because I can see an communicate with my family members back home."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Clear picture on it and everything."], "output": "[['display 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 one down side to it is that when I play a certin game on here, it tends to freeze up sometimes, but thats the only bad thing about this computer."], "output": "[['laptop operation_performance', 'negative'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 acer one computer that I bought is 17 ince screen and its hard to find lap top bags for it, but I like the big screen on it."], "output": "[['display design_features', 'positive'], ['laptop portability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 good for playing my apps on Facebook or watching movies."], "output": "[['laptop 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": ["Im very happy with 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": ["It's solid."], "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": ["Love the stability of the Mac software and operating system."], "output": "[['software operation_performance', 'positive'], ['os 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": ["The only downfall is a lot of the software I have won't work with Mac and iWork is not worth the price of it."], "output": "[['software usability', 'negative'], ['software general', 'negative'], ['software price', 'negative']]", "situation": "none", "label": "", "extra": "", "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 seems to be incompatible with everything else."], "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": ["But the machine is awesome and iLife is great and I love Snow Leopard X."], "output": "[['laptop general', 'positive'], ['software general', 'positive'], ['os 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 love to use it it is esay and light."], "output": "[['laptop general', 'positive'], ['laptop usability', '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 laptop is durable and it is easy to travel with."], "output": "[['laptop quality', '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 needed one to be able to carry to work everyday and this one seems to fit all of the criteria."], "output": "[['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 is great for work and doing my pictures."], "output": "[['laptop 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": ["i am a huge computer person i love anykind of computer that works well, but when i got this one i was so happy with the way it works and how it runs its amazing."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 programs are esay to use and are quick to process this computer works like a charm."], "output": "[['software usability', 'positive'], ['software operation_performance', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 use it for all of my needs."], "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 give this laptop a five star review i love it and it has done chams 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": ["if this computer every breaks down on me i will most definatly get the same one again."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 think that anyone looking for a good durrable laptop then this is the way to go."], "output": "[['laptop quality', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["From the second you open the box you will fall in love with 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": ["The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly."], "output": "[['os operation_performance', 'positive'], ['os quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 track pad to me is what really stands out though, you can do several different things with it just depending on how many fingers you use on the track pad, awesome thinking Apple!"], "output": "[['mouse design_features', 'positive'], ['mouse usability', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 is also very user friendly, even for those that switch from a PC, with a little practice you can take full advantage of this OS!"], "output": "[['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Apple continues to shine and provide a much more enjoyable computer experience!"], "output": "[['company general', '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": ["From the start, when you open the box you see a completely different class of machine."], "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 ease in which you set everything up is such that a child could do it."], "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 screen is bright and clear, the operating system is solid and friendly to a novice."], "output": "[['display quality', 'positive'], ['os quality', 'positive'], ['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Fast, fast and fast, the web pages just fly by."], "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 had my IWORKS, Itunes, Email, MS Office, network and printers set up and completely working perfectly within an hour."], "output": "[['laptop usability', 'positive'], ['laptop connectivity', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["That includes transferring my music and movies."], "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": ["Good bye BLUE SCREEN and Critical errors!!!!"], "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": ["Skype is just so dang cool with this machine too."], "output": "[['software 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": ["If your time is worth anything to you, if you are tired of rebooting, reformatting, reinstalling, trying to find drivers, if you want a computer to work for you for a change, make the change to this computer."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 light and the battery last a very long time."], "output": "[['laptop design_features', 'positive'], ['battery 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": ["Very fast boot up and shut down."], "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": ["Let me tell you, this machine is great."], "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": ["Purchased for development purposes, but it has turned into my everyday laptop as well for surfing, e-mail, etc."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 learning the Mac OS would be hard, but it is easily picked up if you are familiar with a PC."], "output": "[['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 amazing part to me as a PC user is the startup and shutdown times - and the fact that you very rarely have to restart the thing."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 time I have restarted is during system updates."], "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": ["great machine if you want to drop the cash 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": ["Ok, this is probably the best laptop series ever devised by Apple."], "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 case is carved out of a single block of aluminum."], "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 processor screams, and because of the unique way that Apple OSX 16 functions, most of the graphics are routed through the hardware rather than the software."], "output": "[['cpu operation_performance', 'positive'], ['os operation_performance', 'positive'], ['graphics design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 recommended this laptop to everyone I know who is buying 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": ["I like it so much, I bought another just for my wife."], "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": ["Took it back as it was defective."], "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": ["Page just disapeared after you got yahoo or downloaded something."], "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": ["Couldn't keep a page up you were working on!"], "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": ["was a great deal i will give that."], "output": "[['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": ["the laptop preformed pretty well."], "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": ["it cant fuction well with lots of webpages open at once."], "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 has times were it freezes for 10 seconds and then starts again."], "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 mouse on the pad, the left button always sticks."], "output": "[['mouse 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 mouse is way way way to sensitve."], "output": "[['mouse 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 tried turning it done but it did nothing."], "output": "[['mouse 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 mouse jumps around all the time and it clicks stuff i dont want it too."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 not bad just VERY VERY annoying."], "output": "[['mouse 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": ["think i would spend little extra to get a better made laptop."], "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 am very happy with this laptop."], "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": ["For the price and what I get out of it has exceeded my expectations."], "output": "[['laptop price', 'neutral'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 always have used a tower home PC and jumped to the laptop and have been very satisfied with its performance."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Amazing Quality!"], "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": ["Plus stylish."], "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": ["The big screen allows you to enjoy watching movies , pictures and etc!"], "output": "[['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 flaws are, this computer is not for computer gamers because of the OS X."], "output": "[['laptop miscellaneous', 'negative'], ['os miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Mac is not made for gaming."], "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": ["BUT there's this application called Boot Camp which allows you to add another OS X like Windows."], "output": "[['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Second, it gets scratches easily and when it gets old some thing may operated"], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Was not happy with one of the programs on it."], "output": "[['software 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 was not clear that the Microsoft Student Edition that was loaded on the computer, was a six month trial."], "output": "[['software miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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, the extended warranty was a problem."], "output": "[['warranty 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 extended warranty for the $4000 and up computers was the only one available for purchase on the drop drown menu."], "output": "[['warranty 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": ["Overall the computer is very easy to use, the screen is perfect, great computer, my daughter loves."], "output": "[['laptop usability', 'positive'], ['display general', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 finally decided on this laptop because it was the right price for what I need it."], "output": "[['laptop price', '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": ["I did think it had a camera because that was one of my requirements, but forgot to check in the specifications on this one before I purchased."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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 I'm disappointed in that because communicating with my relatives out of the area is a priority."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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 just hope the reputation that Toshiba has is true and I won't have to worry about a crash."], "output": "[['company general', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 eMachines Notebook PC in January of this year and I am highly\u00a0dissatisfied with it."], "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 Internet Explorer was very slow from the very beginning."], "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": ["It freezes, and it always shows that there is an error, so I have to restart it a few times every time I use it."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 tried to upgrade it to a newer version a couple of months ago and I still have the same problem."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Well, I started using Google Chrome, which is a little better, but it freezes too sometimes."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 Notebook restarts every time there is a new update, so if you don't save your files and information, everything will be lost."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Another issue I have with it is the battery."], "output": "[['battery 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": ["Maybe three or four months ago it started blinking all of the sudden."], "output": "[['battery 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": ["There is a small red circle next to it with a x in the middle, and when I click on it it says: \" Consider replacing your battery\" and it does not hold full charge."], "output": "[['battery operation_performance', 'negative'], ['battery quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 not even a year old yet, so I would\u00a0definitely not recommend it to anyone."], "output": "[['laptop quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 waste your money!"], "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 laptop is gorgeous."], "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 is sleek, smooth, and lightweight."], "output": "[['laptop design_features', '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": ["It is easily portable and I take it everywhere I go and might require internet access."], "output": "[['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 screen is very large and crystal clear with amazing colors and resolution."], "output": "[['display design_features', 'positive'], ['display 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 processor is very quick and effective as I load webpages and applications."], "output": "[['cpu 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": ["It is quiet and a real joy to watch work."], "output": "[['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 love it and will probably get another one when this goes to the Laptop in the sky!!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Overall this laptop is great."], "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 plenty of memory, lots of hard drive, and great graphics."], "output": "[['memory design_features', 'positive'], ['hard_disc design_features', 'positive'], ['graphics general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 runs very quiet too which is a plus."], "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 only bad thing about it is they give you the worst batteries possible."], "output": "[['battery 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": ["They only stay charged a little over an hour."], "output": "[['battery 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": ["Laptops are usually used on the go, so why not give you a better battery?"], "output": "[['battery 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 processor a AMD Semprom at 2.1 ghz is a bummer it does not have the power for HD or heavy computing."], "output": "[['cpu operation_performance', 'negative'], ['cpu 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 notebook is lacking a HDMI port and a S-video port that would enable one to hook it to a TV."], "output": "[['laptop design_features', 'negative'], ['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "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 a cheap throw together."], "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": ["Save your money and go for a better device."], "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": ["This laptop is a great price and has a sleek look."], "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": ["Runs smooth and quick."], "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 wish it had a webcam though, then it would be perfect!"], "output": "[['laptop design_features', 'negative'], ['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 Love my new 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 fast and another thing I like is that it has three USB ports."], "output": "[['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 to write and play with graphics and html programming and my new Toshiba works great on both!"], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Thank you for your great product!"], "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": ["Everything about this computer is easy to use."], "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": ["wonderful features."], "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": ["The only thing is that the battery won't last more than 1/2 an hour."], "output": "[['battery 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 discharges too quickly."], "output": "[['battery 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": ["Kind of annoying, but I still love the laptop."], "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 good speed and plenty of hard drive space."], "output": "[['laptop operation_performance', '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": ["The only downfall is the volume control."], "output": "[['multimedia_devices 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 wheel that turns the volume up and down doesn't work in real time."], "output": "[['multimedia_devices 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 to keep turning it until it decides to lower and there is no mute."], "output": "[['multimedia_devices operation_performance', 'negative'], ['multimedia_devices usability', 'negative'], ['multimedia_devices design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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 my macbook a few months ago and it has been my baby ever since."], "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 love it so much."], "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 come into good use for my finances, scheduling, my parents business expenses, and it is definitely amazing for gaming."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 best thing is even while doing almost ten or twenty things at once, it never slows down."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 just as fast with one program open as it is with sixteen open."], "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": ["It works exactly like it did the day I took it out of the box."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 INVESTMENT!"], "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 price and features more than met my needs."], "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": ["The feature are good enough for what I need."], "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": ["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": ["My laptop is almost 2yrs old and I have never had any problems 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": ["If you are a PC user looking to convert I would HIGHLY recommend it!"], "output": "[['laptop 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": ["It may take a little getting used to but you don't have to worry about viruses or other headaches."], "output": "[['laptop usability', 'negative'], ['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": ["Not to mention the fact that your mac comes fully loaded with all necessary basic programs."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 ADDICTED to photo booth!"], "output": "[['software 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 SO much fun to play with."], "output": "[['software 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 work with kids and they love making short videos on there."], "output": "[['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": ["I am able to organize my pics, music and files easily."], "output": "[['software 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": ["If you have any creativity in you do yourself a favor and get a mac!"], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 the keyboard."], "output": "[['keyboard 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 display is awesome."], "output": "[['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": ["Only thing I would want to add to this is an internal bluray read/write drive."], "output": "[['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 other than that I am blown away by all the features this laptop offers."], "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": ["I think this computer is super lame."], "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 dont understand how anyone can think this is a great product worth purchasing."], "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 decided to get this pile of crap on a whim and totally freaking regret it."], "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 doesnt work worth a damn."], "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 display is beyond horrible."], "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": ["I can not even read what I am writing half of the time."], "output": "[['display 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": ["There are so many things wrong with this product, it just makes me want to set my self on fire!"], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 totally recommend any other laptop over this pile of grabage."], "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": ["Not to mention it has shit gigs."], "output": "[['hard_disc 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": ["I could not even put my entire music collection on this garabage."], "output": "[['hard_disc 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": ["Do yourself a favor and invest in a few external harddrives if you are planning on purchasing this laptop."], "output": "[['hard_disc design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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 last week, and the very next day had to return it because it over heated and the touch-mouse stopped responding."], "output": "[['laptop quality', 'negative'], ['mouse 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": ["got another 1, and same issue."], "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 am taking back today."], "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": ["Don't waste your money or time."], "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": ["Very dissappointed becase I have had toshibas for years, and never a issue."], "output": "[['laptop general', 'negative'], ['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": ["STOPPED BOOTING UP less than a week after my one-year warranty was up."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Toshiba knows there is a manufacturing defect but will not acknowledge it."], "output": "[['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": ["Apparently there is a manufacturing defect, something with the amount of thermal paste."], "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": ["TOSHIBA WILL NOT ACKNOWLEDGE THIS PROBLEM."], "output": "[['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": ["When I called Toshiba, they would not do anything and even tried to charge me $35 for the phone call, even though they didn't offer any technical support."], "output": "[['support quality', 'negative'], ['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "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 loved the netbook (minus the fact that it was windows OS) until this started happening."], "output": "[['os general', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 if you can't make your product last more than a year, you will not get my business again."], "output": "[['company general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 had my MacBook Pro for three years now and still 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": ["In those three years, I've had a couple of minor problems and both were resolved by Apple quickly and easily."], "output": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 power supply cord developed exposed wires within the first year of ownership, so it was covered by the Applecare warranty plan."], "output": "[['power_supply quality', 'negative'], ['warranty general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 a couple of years, my battery life began to diminish but was replaced for free due to a company-wide recall of my particular battery."], "output": "[['battery operation_performance', 'negative'], ['support 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": ["In the three years I've had my MacBook Pro, I have never had a virus on my computer, and I do a lot of work on the internet."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 iLife software that comes with the computer is so simple to use and produces a great finished product."], "output": "[['software usability', '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": ["I highly recommend this product!"], "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": ["Needs constant repair."], "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": ["First the screen goes completely out."], "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": ["Then HP sends it back to me with the hardware screwed up, not able to connect."], "output": "[['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": ["Now the screen is going darker, darker, darker."], "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": ["HP is more interested in selling extended warranties (which cost more than the netbook new) then they are in helping or fixing."], "output": "[['support quality', 'negative'], ['warranty price', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Oh yeah, don't forget the expensive shipping to and from HP."], "output": "[['shipping 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'v spent as much for shipping as I would to buy a new netbook -- of course a different brand."], "output": "[['shipping price', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 far so good with this laptop."], "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": ["Fan vents to the side, so no cooling pad needed, great feature!"], "output": "[['fans_cooling 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": ["Screen is crystal clear and the system is very responsive."], "output": "[['display 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": ["Memory is upgradable."], "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 only thing I would change about it is the mouse keys."], "output": "[['mouse 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": ["They click."], "output": "[['mouse 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": ["sounds like a typewriter, but if you can get past that, this is a great laptop for a little money!"], "output": "[['mouse quality', 'negative'], ['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "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 this one."], "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": ["Vista is a nightmare."], "output": "[['os 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": ["No tutorials on the display."], "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": ["The book is useless."], "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": ["The machine has a bluray player the book has no mention of it or how to connect it to your HDTV."], "output": "[['laptop miscellaneous', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Thinking about returning it"], "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 Macbook is a fantastic laptop."], "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": ["You will love this macbook if you choose to buy 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 rarely requires a hard reboot."], "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": ["It just works flawlessly!"], "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": ["Its hard to encounter a problem on a mac that would require such abrupt action."], "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 honestly love my mac, thats why I am a self proclaimed mac addict."], "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": ["This was purchased for my daughter and I was pleasantly surprised."], "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 had the full sized touch pad with 2 buttons instead of just one."], "output": "[['mouse 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 made the computer much easier to use and navigate."], "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": ["Keyboard was also very nice and had a solid feel."], "output": "[['keyboard general', 'positive'], ['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": ["This system came loaded with Windows 7 Starter."], "output": "[['os general', '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": ["So far, so good."], "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": ["When I got this laptop in 2007 to help me with school, I had a hard time from beginning."], "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 feel that it was poorly put together, because once in a while different plastic\u00a0pieces\u00a0would come off of it."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Quite simply this is the best laptop I have ever owned."], "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": ["For me, five stars is not enough."], "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 love the 15\" 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": ["My parents bought it for me as a graduation gift, and i'm totally (almost kind of maybe definitely) obsessed with it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 very easy to just pick up and use--"], "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 did not take long to get used to the Mac OS."], "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": ["I love the size because the screen is big enough for what I use it for (Internet, artwork), and yet it is small enough to be reasonably portable."], "output": "[['laptop design_features', 'positive'], ['display design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["There are several programs for school or office use (Pages, Numbers, Keynote, etc.), music (Garageband), photo management (Photo Booth, iPhoto), video-editing or movie-making (iMovie), etc."], "output": "[['software design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 built-in webcam is great for Skype and similar video-chat services."], "output": "[['multimedia_devices 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": ["iTunes is a handy music-management program, and it is essential for anyone with an iPod."], "output": "[['software usability', 'positive'], ['software miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["All-in-all, I would definitely recommend this product for nearly everyone."], "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 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": ["They definitely have a superior product!"], "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": ["Its not just slow on the internet, its slow in general."], "output": "[['laptop operation_performance', '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": ["No I am generous calling it slow."], "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": ["its more like a snail crawl."], "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": ["he can't stand it."], "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 can't begin to say how disappointed I am."], "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 should have spent an extra hundred bucks and got a full sized computer."], "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 key bindings take a little getting used to, but have loved the Macbook Pro."], "output": "[['keyboard usability', 'neutral'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Delivery was early too."], "output": "[['shipping 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": ["It allows me to do everything I need from a computer and more."], "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": ["With awesome graphics and assuring security, it's perfect!"], "output": "[['graphics general', 'positive'], ['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": ["I'd recommend this laptop 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 Toshiba Satellite laptop is  DESIGNED  to fail !"], "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 board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues."], "output": "[['motherboard quality', 'negative'], ['power_supply quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Toshiba is aware of the issue but unless the extended warrenty is bought Toshiba will do nothing about it."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 actually contact Toshiba before I started having problem and was given run around after I supplied serial number in order to delay me sending in laptop until after warrenty expired."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 after paying for it to be examined I was told it was same problem cited on website but I'd have to pay anyways since it was past warrenty."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 far exceeded my expectations for power, storage, and abilitiy."], "output": "[['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 navigate and update programs."], "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": ["I've never had problems with viruses."], "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": ["My next laptop will also be a Mac!"], "output": "[['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": ["I would like to tell you about the best laptop I just got from 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": ["My mac laptop is fabulous in both areas."], "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": ["It gives me the power and speed that I need to run all the programs I use to edit."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 Final Cut Pro on this laptop is so fast and easy, and I can use this to seemlessly transfer all my work to my home computer, which is also a mac."], "output": "[['software operation_performance', 'positive'], ['software usability', 'positive'], ['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 would buy one of these for every person in my office if I could."], "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": ["In my line of work, I often have to take work home, and this makes it so easy."], "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": ["I do transcription work on the side, and the flatline keyboard makes typing quick and easy as well."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 apple care has never failed me, and I expect it to be the same for this computer as well."], "output": "[['support 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 will only buy apple laptops from now on."], "output": "[['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": ["Great laptop for school, easy to use for beginners in the household."], "output": "[['laptop miscellaneous', '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": ["Keyboard is great but primary and secondary control buttons could be more durable."], "output": "[['keyboard general', 'positive'], ['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": ["Battery life could be better but overall for the price and Toshiba's reputation for laptops it's great!"], "output": "[['battery operation_performance', 'negative'], ['laptop general', 'positive'], ['laptop price', 'neutral'], ['company general', '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": ["My MacBook Pro has been a huge disappointment."], "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": ["From the build quality to the performance, everything about it has been sub-par from what I would have expected from Apple."], "output": "[['laptop quality', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 system constantly overheats, the battery life is too short, the case is coming apart, and my core applications that I use every day in my work as a graphic artist run poorly."], "output": "[['battery operation_performance', 'negative'], ['laptop quality', 'negative'], ['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 not recommend this product to anyone."], "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": ["Screen is awesome, battery life is good."], "output": "[['display general', 'positive'], ['battery 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": ["Really like the textured surface which shows no fingerprints."], "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": ["Good laptop for the money."], "output": "[['laptop general', '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": ["Speakers don't get that loud, but good enough."], "output": "[['multimedia_devices quality', '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": ["They don't crash."], "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": ["If a website ever freezes (which is rare), its really easy to force quit."], "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": ["Never been hacked."], "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": ["No viruses."], "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": ["I have had to call with a few questions or issues and they have helped me for free, even without the warranty."], "output": "[['support quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 mac is very easy to use and it simply makes sense."], "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": ["Its also FUN to use!"], "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 programs are great, like iphoto (love the editing capabilities), imail (which can incorporate with the address book on the ipod and ipad), imovie, etc."], "output": "[['software general', 'positive'], ['software design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["She said its very user friendly."], "output": "[['software 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": ["However, I love this particular Mac because its very fast, great size, and has fantastic features like the lighted keyboard and easy mouse pad."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['keyboard design_features', 'positive'], ['mouse usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 very happy I bought this Mac, well worth the extra money."], "output": "[['laptop price', 'neutral'], ['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": ["Now that I have it I see that I really needed this for much more."], "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 run Dreamweaver, Final Cut Pro 7, Photoshop, Safari, Firefox, MSN Messenger and a few other applications constantly at the same time."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 not had a problem with the applications quitting or freezing."], "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 highly recommend this laptop to anybody that wants great performance from a laptop and would like to relax and not become enraged cursing the gods about to throw your laptop out the door."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["That was my first Apple product and since then I have been incredibly happy with every product of theirs I have bought."], "output": "[['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 MacBook Pro is no exception."], "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": ["Since I've had this computer I've only used the trackpad because it is so nice and smooth."], "output": "[['mouse usability', 'positive'], ['mouse operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 like that you can scroll down in a window using two fingers on the trackpad."], "output": "[['mouse operation_performance', 'positive'], ['mouse usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 computer runs very fast with no problems and the iLife software that comes with it (iPhoto, iMovie, iWeb, iTunes, GarageBand) is all very helpful as well."], "output": "[['software general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 recommend this laptop to anyone looking to get a new laptop who is willing to spend a little more money to get great quality!"], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Shiny"], "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 Laptop is the Best of the best!"], "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 Awesomest of the awesomest."], "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 is so great, I can Hardly ever take my hands off 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": ["My friends are in awe every time they come over!"], "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 got it for Christmas, and I was so excited to set it up!"], "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 is super fast, and always loads."], "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 am just amazed."], "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 only bad part is the size/weight."], "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": ["It's like 9 punds, but if you can look past it, it's GREAT!"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["If you don't like fingerprints, this might not be the laptop for you."], "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 super shiny, so you can see the fingerprints easily."], "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": ["All for such a great price."], "output": "[['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": ["It's color is even cool."], "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": ["Another Great thing is the Beast 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": ["They are so realistic I am just speechless."], "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 let my friend borrow it, and she knows nothing about computers, and she used it with ease."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 cool thing about this is anyone can use it."], "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": ["I don't know how I could ever live without my Qousmio."], "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 own a Hewlett Packard laptop and I've had man problems with it since I bought in in Feb, 201"], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Ive had to call tech support many times."], "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": ["Each time taking about 1 day or so."], "output": "[['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": ["I had to wait 3 weeks to get it back and it still is not working properly."], "output": "[['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": ["I had to pay for the shipping!"], "output": "[['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": ["I will never buy anything from HP 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": ["The Toshiba Satellite has been more than I expected for the price."], "output": "[['laptop general', '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": ["THis computer may be small but it is one heck of a power horse."], "output": "[['laptop operation_performance', 'positive'], ['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 can do it all on this bad boy but the main thing this netbook was desinged for was surfing the web and boy o boy does it ever."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["for being so small it is amazing that it is as fast as it is."], "output": "[['laptop design_features', 'neutral'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["when i first got it i thought the size of it was a joke."], "output": "[['laptop design_features', '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": ["but after i got used to it i love it."], "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": ["the size of has actually help me out quite a bit by me being able to fit it in an already full backpack and to use it at a resturant where the food on the table is always so space consuming."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 3 usb ports, 1 sd memory card reader and an sd memory car expansion."], "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": ["the only down fall is that it has no cd drive but i found that they are very cheap to by and also very portable making this the best friend to someone who is always looking for more space then they have."], "output": "[['laptop design_features', 'neutral'], ['laptop portability', '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": ["overall i would recomend this to anybody and tell them that if they want to burn their music or play there video games to buy the cd drive."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 my mac all the time, i love the software, the way it takes a short time to load things, how easy it is to use and most of all how you don't have to worry about viruses."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['software general', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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 a mac you don't have to worry about antivirus software or firewall, it's so wonderful."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["All apple associates are always wiling to help you out with anything, no matter when you purchased the computer and how many years passed."], "output": "[['support 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": ["this computer will last you at least 7 years, thats an amazing life spanned an electronic."], "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": ["everything about a mac is wonderful, it takes a little used to learning and getting used to the new system, but you will learn fast and its all worth it."], "output": "[['laptop general', 'positive'], ['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 working = bad"], "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 spent 2200 dollars on a \"top of the line laptop\"."], "output": "[['laptop price', 'negative'], ['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 got the blue screen of death the first month I got it."], "output": "[['laptop operation_performance', 'negative'], ['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": ["1) Payed $2200 for a \"premium\" laptop"], "output": "[['laptop price', 'negative'], ['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": ["2) Blue screen first month"], "output": "[['laptop operation_performance', 'negative'], ['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": ["3) Horrible customer support-they lost my laptop for a month-got it back 3 months later"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["4) Laptop still did not work, blue screen within a week..."], "output": "[['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": ["5) Cut my losses and sold it for parts"], "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": ["this company truely does make horrible products and doesnt seem to because they are certain things like this \"never\" happen..."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["what an elegant, wonderful machine."], "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": ["I'm making the switch and finding that my biggest problem is trying to do things the 'old' way - and Apple does, indeed, have the better idea."], "output": "[['laptop general', 'positive']]", "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 wish I had done this years ago."], "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": ["Pairing it with an iPhone is a pure pleasure - talk about painless syncing - used to take me forever - now it's a snap."], "output": "[['laptop connectivity', 'positive']]", "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 - never had a computer I was so impressed with - and I've had a lot of laptops and desktops - this one is FAR AND ABOVE THE BEST ONE I EVER HAD BEFORE."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 tell everyone that I know, friends, family and enemies this is the absolute worst computer i have ever used."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 computer blinks it shuts off at will."], "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 letter A stopped working after the first week."], "output": "[['keyboard quality', 'negative'], ['keyboard 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": ["when i called to have another one shipped or to get my money back they said the return policy is 23 twenty three days from the date of purchase."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 the fact that the computer does not work on the 24 twenty fourth day is my fault."], "output": "[['support quality', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["they have done absolutely nothing to fix the computer problem."], "output": "[['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": ["they have not sent a new one nor called."], "output": "[['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": ["i spent eight hundred dollars from a giant paper weight that looks good on a bus."], "output": "[['laptop design_features', 'neutral'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "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 on top of it all their cusromer service center is in the middle east."], "output": "[['support 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 when you do call to complain about the hunk of metal you get the joy of speaking with a bunch of people you cant understand."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 to make matters worst, there is noone that they can transfer you to."], "output": "[['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": ["I had this computer for one month and had to send it in for repair."], "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": ["Got the computer back a month later and it was still broken sent it out again and they repaired it."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["3 weeks went by and the computer keeps crashing and will not open any applications."], "output": "[['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": ["DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND THE WARRANTY COMPANY IS HORRIBLE."], "output": "[['support quality', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 NOT BE ABLE TO TALK TO AN AMERICAN WARRANTY SERVICE IS OUT OF COUNTRY."], "output": "[['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": ["COMPUTER HAS BEEN AT SERVICE FACILITY MORE THAN IN MY HANDS."], "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 have had this laptop for a few months now and i would say im pretty satisfied."], "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 only problems are the sound isnt very loud I have to wear headphones."], "output": "[['multimedia_devices 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": ["Another thing is that after only a month the left mouse key broke and it costed $175 to send it in to fix it."], "output": "[['mouse quality', 'negative'], ['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["That whole experience was just ridiculous we sent it in and after they told us that we had to pay $175 to fix it we were like we will just by a portable mouse which would be way cheaper but they refused to send the laptop back until we paid the $175 and it was fixed."], "output": "[['support price', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 took a little over 2 weeks until i got it back."], "output": "[['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": ["ANd I babyed the heck out of it just one day when i opened it turned it on went to click and it was broke."], "output": "[['mouse quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["To be honest i think it was faulty equipment or something but idk."], "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 graphics are great."], "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 internet speed is spectacular."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', '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 battery life is probably an hour at best."], "output": "[['battery 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": ["Oh and it has word and stuff but its a trial verion so after about a month or so when you go to open it it asks for a product key which didnt come with the computer and even after clicking cancel it wont let you use it at all I use the old word processer which works good."], "output": "[['software miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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 recommend it just because of the internet speed probably because thats the only thing i really care about."], "output": "[['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive']]", "situation": "none", "label": "", "extra": "", "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 wish the volume could be louder and the mouse didnt break after only a month."], "output": "[['multimedia_devices quality', 'negative'], ['mouse quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 received this laptop as a gift and let me just tell you that its the worst."], "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": ["At first it worked well for a month or so then the system board failed and I send it in to toshiba some complaints and three weeks later I then receive my laptop back only to discover that it still has the same problem so now I have to send it back again to get it fixed again."], "output": "[['laptop quality', 'negative'], ['motherboard 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": ["This computer doesn't do that well with certain games it can't play some and it becomes too hot while playing games."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Oh and if thats not bad enough it doesn't come with a recovery cd so you can make one if you know how to or buy one if you buy it the cost is $25 for two cds."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "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 whole experiece is horrible so save up and buy a better laptop."], "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 bought a HP Pavilion DV4-1222nr laptop and have had so many problems with the computer."], "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 computer is so slow, even after paying staples the extra money to speed it up."], "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": ["They said it was a computer error on this type of computer."], "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": ["Also, I have alot of trouble with it getting very hot, and not even sitting on anything to make it hot."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["When the computer has been on for several minutes, it will occasionaly just go off by itself."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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, the battery does not last very long at all."], "output": "[['battery 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 would recommend not buying this product."], "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 have had no luck with staples or HP to resolve this problem."], "output": "[['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": ["I am stuck with a laptop that I cannot do very much with."], "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": ["Also, I have had alot of trouble with the keys sticking and will not type correctly."], "output": "[['keyboard operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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, I have had alot of trouble with the shift key to go to other lines."], "output": "[['keyboard 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 gets stuck all of the time you use it, and you have to keep tapping on it to get it to work."], "output": "[['keyboard operation_performance', 'negative'], ['keyboard usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Sometimes the screen even goes black on this computer."], "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": ["Will probably never buy a HP 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": ["Purchased a Toshiba Lap top it worked good until just after the warrenty went out."], "output": "[['laptop quality', 'neutral'], ['laptop operation_performance', '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": ["After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace."], "output": "[['hard_disc quality', 'negative'], ['support price', 'negative']]", "situation": "none", "label": "", "extra": "", "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 it."], "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 have had the luxury (sarcasm) of owning 2 of these laptops."], "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 first fell apart right after the 1-year-warranty."], "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": ["During that time, I had to send it back 3 times."], "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 paid about 18000 for this laptop because of all the bells and whistles and it kept crapping out on me."], "output": "[['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["None of the techs at HP knew what they were doing."], "output": "[['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": ["They would repair one thing, send it back and it would still have the same problem."], "output": "[['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": ["The processor went on me, the fan went and the motherboard went."], "output": "[['cpu quality', 'negative'], ['fans_cooling quality', 'negative'], ['motherboard quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 wanted to purchase the extended warranty and they refused, because they knew it was trouble."], "output": "[['support quality', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 something else go wrong and they said it had to be in good working order to be able to buy the warranty."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 friend who temporarily fixed it and I finally paid about 1500 for the extended warranty."], "output": "[['warranty 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 sent it back AND THEY LOST IT."], "output": "[['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": ["I waited and waited and no laptop."], "output": "[['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": ["Finally after months of research the discovered that they mailed it to a Walmart and there probably would be no way to find the box."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 waited another month for approval and for them to \"BUILD\" me a new laptop."], "output": "[['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": ["I thought all my problems would finally be solved being that my old computer wouldn't go onto our wireless network and I wouldn't have the same problems because it was updated."], "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": ["Here we are another year later and the computer is doing the same thing."], "output": "[['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": ["HP didn't fix it."], "output": "[['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": ["I swear they design these things to go to crap after a year so you are stuck and have to buy a new one."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 5 months the connect quality got worse and worse."], "output": "[['laptop connectivity', 'negative'], ['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": ["1st time they got it working the next 5 month they had me send it in."], "output": "[['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": ["returned it."], "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": ["5 months dead again."], "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": ["They say sorry out of warranty."], "output": "[['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": ["Summary: They played games with me for the warranty period."], "output": "[['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": ["Now 17 months later they want (would not say exact amount) $165.00 to $400 to fix the machine."], "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": ["They had me send in the machine last April returned it to me in May with no documentation on what was done it anything."], "output": "[['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": ["Now the machine won't connect and Toshiba says that they did replace the connection card in May but they only warranty the repair for 30 days and now I'm out of warranty even though this has been a constant 5 month occurance since I bought the netbook."], "output": "[['laptop connectivity', 'negative'], ['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 buyer beware when buying Toshiba"], "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": ["They are wonderful, but very dangerous when it comes to emitting heat."], "output": "[['laptop general', 'positive'], ['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 burned my leg, after lifting it from my desk, and for less than 5 second putting it on my lap to clean my coffee table, so I can place it there."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 call Apple 19 times (each time 40 to 75 minutes on the phone), and take it to their store for evaluations, and diagnostics, 5 times."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["For my burn thigh which has put a permanent mark on my skin (it happened 7 months ago) they offered me an ITouch 8Gig (you know it is a bit insulating when a company this rich, offer a loyal customer like me, a bottom of their product line as a gift for events like this)."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Steve Jobs, probably needs help and donations, and cannot afford a reasonable offers for people that truly are trying to support his baby."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 lesson learned here is: It does not pay to by this loyal to any brand, since all of them are there to simply  to make as much money as possible, as fast as they can, and in this day and age, the customer no longer is right all the times."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 not going to sit here and complain about it not having a cd drive and what not because it is a netbook, it is made to be compact and if you want all the other stuff get a laptop."], "output": "[['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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": ["Anyways I bought this two months ago and when I first brought it home it kept giving me a message about a vibration in the hard drive and it is putting it temporaly in save zone."], "output": "[['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 I called customer support (which is good too) and they went through it and it is just a safety feature and it does not affect performance at all, I just chose to hide the message."], "output": "[['support 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": ["Also the speakers are not very loud, But it is a netbook."], "output": "[['multimedia_devices quality', '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": ["Would HIGHLY recommend this netbook though."], "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 custom ordered the machine from HP and could NOT understand the techie due to his accent."], "output": "[['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": ["The computer was two weeks late in delivery because HP forgot to complete the required import paperwork."], "output": "[['shipping quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 laptop cost approximately $2,300 and DIED after only 2-years, 10-months and 18-days of use."], "output": "[['laptop quality', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Although my model was listed as recalled, HP denied my claim."], "output": "[['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": ["This laptop leaves alot to be desired, I have had it only 5 months and have had to send it away to be repaired twice..."], "output": "[['laptop general', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 it from HSN because it was \"bundled\" with extra software, but as it turns out, that software just crashes it more often....."], "output": "[['software general', 'negative'], ['laptop design_features', 'neutral'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["If you shop around in the current market you can find a much better deal."], "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 repairs were made quickly though I must say, however the second time they shipped it to the incorrect address and it took nearly a week for them to get it to me."], "output": "[['support quality', 'positive'], ['shipping quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Unable to boot up this brand new laptop."], "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": ["Spent 2 hours on phone with HP Technical Support."], "output": "[['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": ["They went through asking me open up various components, taking battery out, hard disk apart, and after 2 hours on phone could not fix it."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["They are asking me to ship the unit back to fix it at their site."], "output": "[['support quality', '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 am going to go back and return at Store I bought from!"], "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": ["This computer had exactly the specifications I needed."], "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": ["Small enough to use on a long flight, Light enough to carry through airports and powerful enough to replace my desktop while on long business trips."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 perfect notebook..."], "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": ["When I finally had everything running with all my software installed I plugged in my droid to recharge and the system crashed."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 Aspire wont even boot past the Acer screen with a Droid (I have tried both Motorola and HTC) plugged into the USB port."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Called tech support and got the usual Acer \"We don't support software but for $$$ we can help you\" I explained there was no software involved in booting."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["No, tey don't even support their own bios and it \"could be a problem with the bios\" How can a company that makes a fairly decent product get away with such insanity??!!"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Needless to say a PC that can't support a cell phone is less than useless!"], "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": ["With today's company fighting over marketshare, its a shame that ASUS can get away with the inept staff answering thephone."], "output": "[['support quality', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 agree with the previous comment that ASUS TECH SUPPORT IS HORRIBLE WHICH IS A CON IN MY OPINION."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Summary: I've had this laptop for 2 months, out of the blue the power adapter stops working."], "output": "[['power_supply quality', 'negative'], ['power_supply operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 no one could tell me when my part would be shipped nor could they tell me where to buy it ON THEIR WEBSITE!!!"], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Frustrated I hung up and tried to call back 3 days later to be told that it takes 2-3 days for turnaround time."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 was the 3rd day and part still had not been shipped."], "output": "[['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": ["The rep did not even answer my question, I had to ask him, if he understood what I ask or if he spoke english because he didn't even try to acknowledge my question."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 tired of the inept service."], "output": "[['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": ["If you are looking for a netbook pc DO NOT BUY FROM ASUS!!!"], "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": ["Unless you want to be inconvenienced with a non working power supply which you can't find a replacement for because they made the attachment so small."], "output": "[['power_supply operation_performance', 'negative'], ['power_supply design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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 REALLY FRUSTRATED BY THIS EXPERIENCE."], "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": ["HOW DOES THE POWER SUPPLY NOT WORK!!!"], "output": "[['power_supply 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": ["Our Apple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook and has become such an integral part of completing our daily needs and social networking."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 do everything on this computer - check email, facebook, shop, check blogs, write papers, listen to music, and we even watch all of our movies on it since we do not have a tv."], "output": "[['laptop general', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 pretty much does everything we could ever need, and looks great to boot."], "output": "[['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Apple is always great about the aesthetics of things, they always come up with good looking products."], "output": "[['laptop design_features', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 didn't take me long to get switched over to the Mac computer programs and navigation - it's been just fine and like the way this laptop functions much better."], "output": "[['software usability', '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": ["So, if you're thinking of a laptop, I would heartily recommend theApple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook for all your needs!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 great and we will always stick with Apple computers, we have been so happy with them."], "output": "[['laptop general', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 13\" MacBook Pro is portable, durable, and very capable."], "output": "[['laptop quality', 'positive'], ['laptop portability', '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": ["It has a 10 hour battery life when you're doing web browsing and word editing, making it perfect for the classroom or office, and in terms of gaming and movie playing it'll have a battery life of just over 5 hours."], "output": "[['battery operation_performance', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 also very energy efficient, running on a quarter of the power it takes to run a 60 Watt lightbulb."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "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 graphics aren't bad at all, for the lower end of the MacBook Pro spectrum, easily capable of running StarCraft II and other games with comparable graphics."], "output": "[['graphics general', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 operating system and user interface is very intuitive, and the large multi-touch track pad is amazing."], "output": "[['os usability', 'positive'], ['mouse design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["However, the multi-touch gestures and large tracking area make having an external mouse unnecessary (unless you're gaming)."], "output": "[['mouse design_features', 'positive'], ['mouse usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Still, this laptop is perfect for all day use at school and work."], "output": "[['laptop 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": ["They also have a longer service life than other computers (I have several friends who still use the older Apple PowerBooks)."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Probbly the worst decision we ever made!"], "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 has bein into the shop to get a new hardrive 2 times and to fix the touch control buttons on the keyboard!"], "output": "[['keyboard quality', 'negative'], ['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["pretty much everything else about the computer is good it just stops working out of no were."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 the size of the computer since i play games on it."], "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": ["i also love having the extra calculator number set up on the keyboard which most laptops do not have."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 the keyboard does not liht up so unless your sitting in a room with some light you cant see anything and thats bad for me because my boyfriend tends to watch tv in the dark at night which leaves me with no way of seeing the keyboard."], "output": "[['keyboard design_features', 'negative'], ['keyboard usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 i would not reccomend anyone buying this computer"], "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": ["First, it does not have a push button to open the lid."], "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": ["It is held in place magnetically."], "output": "[['laptop design_features', '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": ["There is a little indent to help open it - but good luck with that."], "output": "[['laptop design_features', 'neutral'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["Once open, the leading edge is razor sharp."], "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": ["This is the complete opposite to an ergonomic design."], "output": "[['laptop design_features', '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": ["Using this machine is like a mild form of torture."], "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": ["The much lauded combined touch pad and clicker is a nightmare."], "output": "[['mouse 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": ["I lost two items I was working on until I figured out what was happening."], "output": "[['mouse operation_performance', 'negative'], ['mouse 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": ["Also, the space bar makes a noisy click every time you use it."], "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 hate to say this, but if I could take this back to the shop and get my money back, then I would."], "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 is absolutely horrible to use, despite all its so called advanced features."], "output": "[['laptop usability', 'negative'], ['laptop design_features', '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 regret buying it before understanding how awful it is to use."], "output": "[['laptop 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": ["It's a bummer and one out of five is being kind."], "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": ["My Mac has gone from being a trusted friend to an adversary."], "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": ["In due course, I'll remove the hard disc from this new MacBook Pro and dump it where it belongs - in the trash."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 the screen size is not that bad for email and web browsing."], "output": "[['display design_features', '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 like this machine because its very lightweight..."], "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": ["very convenient when you travel and the battery life is excellent..."], "output": "[['battery operation_performance', '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": ["10 hours of battery life is really something else...."], "output": "[['battery 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 highly recommend that you buy this product."], "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 crashes, and when it goes flat, it just DIES (like a PC, maybe worse) and I loose all my open documents!"], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "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 it!"], "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 is the easiest computer I have ever used"], "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": ["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 can't say enough good for 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's A 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": ["I fine Apple MC373LL/A 2.66GHz 15\" Macboook Pro Notebook meets all my needs for a laptop computer when on the go."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "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 like to use it at the race track to handiecap the horse races."], "output": "[['laptop 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": ["It's face and depanable."], "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": ["As a graphic arts a retired instructor I still love to play with the graphic with photos and clip art ....."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 just a great toy to have around."], "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": ["very very slow laptop."], "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": ["tons of bloatware and junk programs."], "output": "[['laptop design_features', 'negative'], ['software 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": ["can't reinstall with standard os cd because of proprietary hardware drivers."], "output": "[['laptop usability', 'negative'], ['software 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": ["keys are all in weird places and is way too large for the way it is designed."], "output": "[['keyboard design_features', 'negative'], ['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["lots of extra space but the keyboard is ridiculously small."], "output": "[['keyboard design_features', 'negative'], ['laptop design_features', '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": ["Amazing machine."], "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 is a big big, but since it has a 18.4\" screen what would you expect!"], "output": "[['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "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 truly a Desktop Replacement."], "output": "[['laptop 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": ["Very fast and efficient!"], "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": ["Does a great job with video shot on a Canon 5D MKII."], "output": "[['laptop 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": ["Very happy with my 7th Toshiba laptop!"], "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 touchpad is very intuitive, so much so that I never want to use buttons to click again!"], "output": "[['mouse usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Of course, I also have several great software packages that came for free including iWork, GarageBand, and iMovie."], "output": "[['software general', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "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 appreciate the fact that it has almost zero viruses and spyware problems!"], "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 only drawback for me is how dirty the screen gets, and rather quickly too."], "output": "[['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": ["I also enjoy the fact that my MacBook Pro laptop allows me to run Windows 7 on it by using the VMWare program."], "output": "[['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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": ["Now I have the best of both worlds with all of the power and ease of the Mac!"], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "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 got the added bonus of a 30\" HD Monitor, which really helps to extend my screen and keep my eyes fresh!"], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "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 never have had a good result with this computer."], "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 told by many  that it was a great computer, but we got one of these, and it worked  great for one year, and as soon as the warrenty was up, then it got  really bad."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["They told me it was my loss even though it was the computer, not  what I've done."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 hard drive crashed as well, and I had to buy a new  power cord."], "output": "[['hard_disc quality', 'negative'], ['power_supply quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["They told me to reprogram the computer, and I didn't need  to do that, and I lost pictures of my oldests first 2 years of her  life."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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 don't like this company nor the toshiba brand, and I'll never  buy another one because I've put more into it then it is worth."], "output": "[['company general', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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  rather spend my money on a computer that costs more then a Toshiba that  isn't good at all."], "output": "[['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 right speaker did not work."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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": ["Again, the same problem, the right speaker did not work."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices 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 returned the 2nd laptop for a full refund."], "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 mouse pad and buttons are the worst i've ever seen."], "output": "[['mouse 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": ["sometimes you will be moving your finger and the pointer will not even move."], "output": "[['mouse 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 mouse buttons are hard to push."], "output": "[['mouse 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 cant believe HP put this out."], "output": "[['company general', '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": ["do not buy you will be 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": ["i'm returning mine"], "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 is a decently made pc."], "output": "[['laptop general', '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": ["the graphics are awful and the wireless switch it at the top rather than the side which I am used to it being on the side."], "output": "[['graphics general', 'negative'], ['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 the switch being at the top you need to memorize the key combination rather than just flicking a switch."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "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 in a brief summary i would have to say that i would not recommend dell vostro 1000 to anyone due to it being a down right awful setup so in my opinion you should steer clear of them if you want a decent laptop."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "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 HP,, it's the only computer/printer we will buy."], "output": "[['company general', '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": ["This is perfect for her field."], "output": "[['laptop 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": ["At first when I got this product, 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": ["The computer itself was fast, ran smoothly, and had no problems."], "output": "[['laptop operation_performance', '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": ["Then, within 5 months, the charger crapped out on me."], "output": "[['power_supply 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": ["So I called Compaq, and after being on the phone for 3 hours, i finally got a replacement which I shouldn't have had a problem getting since it was under warranty."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "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": ["2 months later, the battery went."], "output": "[['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']] "}