{"task_type": "generation", "dataset": "semeval-2015", "input": ["This computer periodically crashes (Office, IPhoto, Safari)."], "output": "[['laptop operation_performance', '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": ["It takes a long time to get on the Web and to change Web Sites."], "output": "[['laptop operation_performance', 'negative'], ['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Locks up she searching for updates."], "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 seems that this computer 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": ["I purchased my Macbook Pro Retina from my school since I had a student discount, but I would gladly purchase it from Amazon for full price again if I had too."], "output": "[['laptop general', 'positive'], ['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": ["The Retina is great, its amazingly fast when it boots up because of the SSD storage and the clarity of the screen is amazing as well."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 buy this i would highly recommend that you buy a case and screen protector for this machine as they are known to be quite fragile."], "output": "[['laptop quality', 'negative'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Count me as extremely satisfied, it's a perfect 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 just bought this computer from the Apple Store, and I couldn't be more impressed with it."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 stunning retina display, and is very fast."], "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": ["This computer is good for anything, and it has really superseded my high expectations."], "output": "[['laptop miscellaneous', '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, the sound quality from the speakers is crystal clear, and everything is just sleek and smooth."], "output": "[['multimedia_devices quality', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 HD display is sensational, and now watching any movie is a very enjoyable experience for me."], "output": "[['display 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": ["No hardware issues, as is common with any Apple product."], "output": "[['hardware 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": ["Great product, and couldn't be happier 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": ["awesome laptop, 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 love my new ThinkPad!"], "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 gives me everything I need from a computer and with the long lasting battery, it also gives me mobility."], "output": "[['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 anywhere."], "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": ["It 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": ["All the sturdy and substantial feel you expect from a Thinkpad."], "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": ["Average performance on almost every benchmark but priced accordingly."], "output": "[['laptop operation_performance', 'neutral'], ['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": ["Below average on the w-fi adapter which I'm still trying to get to the bottom of."], "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": ["Great 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": ["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": ["Works 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": ["Would purchase 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": ["A good 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": ["Quite pleased 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": ["Fast enough for my purposes."], "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": ["No bloatware from third party parasites to uninstall."], "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": ["Excellent keyboard and crisp screen."], "output": "[['keyboard general', '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": ["Battery could be better but it has robust processor and plenty of RAM so that is a trade off I suppose."], "output": "[['battery general', 'negative'], ['cpu 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": ["I'm glad to have it and it showed up in only a few days."], "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 itself is very good, it could be better, but not bad at all for it's price point."], "output": "[['laptop general', '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": ["It does everything I 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 big deal with this was Windows 7."], "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": ["When I saw this I grabbed 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 has met 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": ["Just what I expected."], "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 don't have any complains about 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": ["Outstanding laptop and very well built."], "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": ["The retina display is fantastic."], "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": ["One of the best thing i have bought in years."], "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 PC, light and powerful."], "output": "[['laptop general', 'positive'], ['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": ["Is just 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 glare of the glossy-retina display is unbearable."], "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": ["Do not buy a mac until this issue is resolved."], "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": ["Performs as advertised, if not better!"], "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": ["Super light weight (I never cared either way about weight until now)."], "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": ["Feels like solid state."], "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": ["WONDERFUL 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": ["glad I bought 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": ["Tiny, forgivable drawback - no ethernet cable outlet."], "output": "[['laptop design_features', 'neutral'], ['laptop connectivity', '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 that's not a deal-breaker."], "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": ["SUPER 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": ["Will probably get another one 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": ["a bit ugly,but works good"], "output": "[['laptop design_features', 'negative'], ['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 like the design rather sleek and light."], "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 will give advise any prospective buyers this is not great laptop, Its good for web browsing and word processing"], "output": "[['laptop general', 'neutral'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Fantastic for the price - just wish it the keys were illuminated."], "output": "[['laptop general', 'positive'], ['laptop price', 'neutral'], ['keyboard design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 on a budget.... Save up longer."], "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 isn't worth a single cent."], "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 couldn't even install linux on 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": ["Windows runs very poorly."], "output": "[['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": ["Just save your money and get something better."], "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": ["awesome price for a laptop that lasts more than 8 hours without recharging!"], "output": "[['laptop price', 'positive'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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!"], "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 a complete cheap junk."], "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": ["By just looking at it you will realize it's crap."], "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's not what you pay for."], "output": "[['laptop general', 'negative'], ['laptop price', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The case is made from cheap plastic."], "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 the description it said there is Bluetooth but no there isn't."], "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'm warning you, You're wasting your 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": ["Love the 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": ["Hate Windows 8.1!"], "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": ["It dosn't even have a disc compartment"], "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": ["Had to return 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": ["Keeps freezing"], "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": ["No ethernet outlet"], "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": ["Disc drive will not open or function"], "output": "[['optical_drives quality', 'negative'], ['optical_drives 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": ["Odd - unusual Dell Commands"], "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": ["Would have exchanged instantly - but had to use as if for College immediately."], "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": ["Unimpressed."], "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": ["Terrific 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": ["Works beautifully."], "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 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": ["just what we needed for our daughter to do her on line math class"], "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": ["This is a great 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": ["It is very, very quiet."], "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 reason I didn't give it a 5 star is, I feel I have to reach so far to type on the key board."], "output": "[['laptop general', 'positive'], ['keyboard usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 also have to press firmly on the keys."], "output": "[['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": ["Otherwise this is a great computer great prices."], "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": ["Was easy to set up and has been easy to learn to 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": ["Works good and is fast enough for 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": ["Good product for a good 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": ["It was too cheaply constructed."], "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 also gave me an introduction to Windows 8, which I hope will be discontinued it the future."], "output": "[['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 Horrible Its To Slow."], "output": "[['laptop general', '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 Thing That You Insert CDs Into Won't Open."], "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": ["not a good computer at all."], "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": ["We returned two days later."], "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": ["They were excellent to handle our return and post our refund back into our account the next day."], "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": ["Great price and computer!"], "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": ["They 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": ["It's easy to operate and it's very light (my parents are almost 60 yo, they can't carry a heavy computer while traveling)."], "output": "[['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 here's something I hadn't realized before buying it: there isn't an optical drive, which means NO CDs or DVDs!"], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 product was DOA."], "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": ["Fired up and worked for the first day and then the display died on my wife while she was taking a timed test."], "output": "[['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 not recommend."], "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": ["Pretty good 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": ["Good for basic stuff."], "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": ["Don't try to use to play any pc games or anything."], "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 for simple web browsing and media streaming."], "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": ["Pretty premium feel for the low 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 have so much trouble turning the computer 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": ["It comes on for seconds then shuts itself off."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["My mistake was to not research this one, no DVD and no place to insert my ad card to download pictures."], "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 should have waited to find a higher quality 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": ["i'm very happy,this laptop is beatifull, is'nt slow at all."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 it doesn't have a cd unit, anyway the other thing is that the laptop does not have an ethernet port for cable connecting."], "output": "[['laptop design_features', 'negative'], ['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 wifi...."], "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 screen is big, and everything was as described"], "output": "[['display 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": ["For everyday use, you can't really go wrong with this 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": ["If, like me, you will be paying bills, occasionally reading the news, or just buying stuff on line, Then this is a winner."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 gamer or need it for heavy computer use, get something else."], "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's a good starter computer that is extremely light on the wallet."], "output": "[['laptop miscellaneous', '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": ["Like i said, Good for basic stuff and as a starter."], "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": ["Still getting use to Window 8."], "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": ["Has a built in camera which i do not use."], "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": ["Sturdy but only for typical wear and tear."], "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": ["Can not believe the 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": ["Amazing computer,  perfect for school."], "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": ["I've had my Lenovo for a little over a month now and it does everything i want it to do 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": ["i really have nothing negative to say 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 keyboard is a little wonky with having to use the Function button to get the F-keys but with how infrequently i use those it is a non-issue."], "output": "[['keyboard design_features', 'negative'], ['keyboard usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 great value 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": ["i can run somewhat modern games like Skyrim and Fallout New Vegas with no issues."], "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 get giddy every time I use this thing."], "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 thing of beauty and fast enough."], "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": ["When you click and don't wait."], "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 yes, it is ridiculously 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": ["The battery will get you from LA to NY no problem."], "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 8.1.WAY DIFFERENT THAN MY OTHER COMPUTER SO WE HAVE TO GET USE  TO IT."], "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": ["IT IS VERY LIGHT AND THE PICTURE IS NICE  AND THE PRICE WAS AMAZING."], "output": "[['laptop design_features', 'positive'], ['display quality', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 EVEN READMY KINDLE ON THIS 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": ["excellent item, shipped on time, met my expectations, it doesnt heat at all, dont use it for gaming"], "output": "[['laptop general', 'positive'], ['shipping quality', 'positive'], ['laptop quality', 'positive'], ['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 this is a super product out of the box."], "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": ["It wont wow you with its speed but who can complain at $249."], "output": "[['laptop operation_performance', 'neutral'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 this computer comes with a full size keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["NO junkware!!"], "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": ["This computer is great for someone who is looking to manage their online life(banling, facebook etc) and some basic offline work using MS Office."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 is no DVD player.. but for $20 you can buy an external one"], "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": ["Very light and beautiful."], "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's just a little 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": ["five starts"], "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": ["Terribly 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": ["Start up time took forever everything runs very slowly."], "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": ["Screen broke 1 month outside warranty."], "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 build quality is cheap."], "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": ["Avoid Acer."], "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": ["Not bad."], "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": ["Nice and light, seems to help your work instead of becoming work itself."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 size for me."], "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": ["Probably not a gaming machine, which I have zero interest in."], "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 love this ultrabook"], "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 defenitly recommend it for anyone for office and home 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": ["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": ["I find that it often gets very slow and I have to restart more than usual."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 light and easy to use, though."], "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 love this computer, this is my first ever Mac (I'm 21) and it took a little while to switch over from the OS I was used to, but it was a fast learning curve."], "output": "[['laptop general', 'positive'], ['os usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 resolution is gorgeous, the computer is light, it does everything I need and the interface is pretty intuitive."], "output": "[['display quality', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive'], ['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I love this computer!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["However I am very upset that it doesn't have the superdrive built 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": ["Supper east 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": ["Retina display is beautiful."], "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": ["Also very quick 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": ["Con: Hate that it has no disk drive."], "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 am also glad it doesnt get too hot when left on for an extended period of time."], "output": "[['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 good, even with using high profile software like Sibelius 7 for a good half of the day."], "output": "[['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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, super fast, lightweight computer"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The New Macbook pro working, good user experience, fast speed, faster start up time."], "output": "[['laptop usability', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This is what I was looking for."], "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 a wide screen and it's easy to use."], "output": "[['display 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": ["At my age, I need this kind of 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": ["Extremely 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": ["A masterpiece of crap."], "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 durable ."], "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": ["slow processor, just not it"], "output": "[['cpu 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": ["I can't use the Trackpad very well, it's too sensitive, so I hooked up a mouse."], "output": "[['mouse usability', 'negative'], ['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["External monitor worked 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": ["Been using Lenovo ThinkPad Edge laptops in our business for several years now and have no complaints about any of them."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 held up well not just in our sales department, but also in our service department where they are exposed to dust, exhaust, grease, oil, and all manner of other non-computer-friendly substances."], "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": ["GENERAL, a quality laptop."], "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 Lenovo software that comes preinstalled may qualify as bloatware but is easily removed if you're not interested in it."], "output": "[['software general', 'neutral'], ['laptop design_features', 'neutral'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 rocks."], "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": ["Computer runs very 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": ["Great 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": ["Bigger screen than expected, laptop with a desktop design that is really nice to use for all types of usage, including programming/editing"], "output": "[['display design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 the very few laptops still available with Win 7 Pro, multiple USB ports, and a DVD read/write drive."], "output": "[['os 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": ["Only drawback is no LED to show when the hard drive is being accessed."], "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 a necessity, but something I've come to expect."], "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": ["Does what I need it to do and the price was right!"], "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": ["Great laptop from Apple!"], "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": ["Apple is unrivaled in terms of build quality and functionality."], "output": "[['laptop quality', 'positive'], ['laptop operation_performance', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 retina screen is absolutely beautiful and the touchpad is the best touchpad to date."], "output": "[['display general', 'positive'], ['mouse general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 pair allow for seamless navigation throughout the whole interface."], "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": ["Battery life is astonishing given the processing power and high resolution display."], "output": "[['battery operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 easily get 10 hours out of a full 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": ["Overall, a high quality laptop and a great value considering all this computer has to offer."], "output": "[['laptop quality', 'positive'], ['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 worth the extra cost."], "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": ["Size is perfect and display is beautiful!"], "output": "[['laptop design_features', 'positive'], ['display general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Excellent performance, especially given its price point."], "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": ["The screen is wide and provides excellent clarity."], "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": ["It is not a small, compact laptop, but I won't be traveling via air often, so its size and weight is not a problem for me."], "output": "[['laptop design_features', 'neutral'], ['laptop portability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 appreciate why she recommended 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": ["Don't expect much in terms of performance from this 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": ["It gets the job done in terms of having a computer that can browse the web, use Word/Excel, and the like."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 NOT have an RJ-45 Ethernet adapter for wired network connection."], "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": ["fast easy"], "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": ["So far I do not have any trouble with it other than the picture quality is a bit poor."], "output": "[['laptop general', 'positive'], ['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 have had it over a month now and it works just 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": ["This laptop suits my needs: as i am currently studying online and just need a computer for that purpose."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 daughter uses it for college too and it works great for both of us."], "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": ["So i gave this 4 stars but only because of the poor picture quality, other than that it is a great buy!"], "output": "[['laptop general', 'positive'], ['display quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 absolutely horrible."], "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 it simply for Excel on Windows for work since I have a Macbook Air and literally the thing freezes and lags opening Excel or my web browser."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 chance mine is defective but regardless I'm not going to try another one this is a terrible product."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 much rather bite the bullet and spend a little more for a product that actually meets minimum computing expectations for 2014."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I appreciate the effort to hit affordable pricing Dell but just not worth it."], "output": "[['laptop price', 'positive'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 slow and complicated and very disappointing"], "output": "[['laptop operation_performance', 'negative'], ['laptop usability', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Great labtop.."], "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 as fast as I would have liked it to be but everything else is great!"], "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": ["I've only had this computer for a few days an I already don't like 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 battery life is a joke and it's causing other problems."], "output": "[['battery operation_performance', 'negative'], ['battery miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I will be 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": ["If people are writing bad reviews about this laptop then believe what they say."], "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 an ok computer."], "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 processor shows a speed of 1.7gz."], "output": "[['cpu 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 disappointing."], "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": ["No bass sound at all."], "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": ["Maybe this one is just a dud."], "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 computer is very wonderful."], "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": ["was not aware it did not have a disk drive when i bought it or i would not of purchased it."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 have a habit of restarting itself when you try to do the log in pw. but over all. im very satisfied."], "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": ["its very fast and very light."], "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": ["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": ["i am giviing it four stars instead of five because of no disk drive and the crashing"], "output": "[['laptop general', 'positive'], ['laptop design_features', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 Dell Inspiron!"], "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 powers on/off very quickly, and it loads up automatically."], "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 mouse click is a bit loud, but it really isn't a problem."], "output": "[['mouse 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": ["For $250, I highly recommend!!"], "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 poor quality lap top...."], "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 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": ["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": ["GREAT value laptop!"], "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 can't believe this was just $250"], "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": ["Speed is great, easy to set up and get going."], "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": ["Very pleased 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": ["It is very difficult to use this computer."], "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": ["Too many steps to get anywhere and hard to set up"], "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": ["This things run smoothly for its price, and the battery life seems to go on forever."], "output": "[['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['battery operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 disappointed in 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": ["All in all, it's well worth its price tag."], "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": ["Great laptop 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": ["It was nearly impossible to find a laptop that had A) a side keyboard."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["B) a DVD/CD player."], "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": ["C) a large hard drive instead of using the Cloud"], "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": ["D) was under $300 with shipping."], "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 only con is Windows effin 8."], "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": ["Still giving it a 5 star rating because it is fast and a nice sized screen."], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['display design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 for web design and general 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": ["Overall good but processing power isn't very good."], "output": "[['laptop general', 'positive'], ['cpu 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": ["W7 Pro with W8 pro upgrade is nice, but it frequently freezes for a few seconds here and there."], "output": "[['os general', 'positive'], ['os operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I replaced stock drive with WD Black 7K drive and is still quite 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": ["Battery doesn't last long web browsing (2.5 hours maybe)."], "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 has some bloat wear that I wish weren't there."], "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": ["It works fine for a PC in this price range."], "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": ["I bought it for my parents (late 60s) and they love it - particularly the keyboard and screen."], "output": "[['laptop general', 'positive'], ['keyboard general', 'positive'], ['display general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Terrific 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": ["Love the key layout and the built-in mouse pad - all work well and are properly sized."], "output": "[['keyboard design_features', 'positive'], ['mouse design_features', 'positive'], ['keyboard operation_performance', 'positive'], ['mouse operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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": ["works good but doesn't seem like it's made sturdy."], "output": "[['laptop operation_performance', '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": ["kinda to light and plastic feeling."], "output": "[['laptop design_features', '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": ["Killer 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 would highly recommend this computer it is FAST!!!"], "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": ["Doesn't have touch screen but I have a tablet so that wasn't so important."], "output": "[['display design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Look and feel is good."], "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 am experiencing the system little slower than what I have expected."], "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": ["And processor feels pressured even though I run medium scale programs, watching the way exhaust speed increases."], "output": "[['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 hdd has a scratching noise."], "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": ["The system sometimes lags a lot."], "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 don't like it at all..."], "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 put a protector to make presentation..."], "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": ["A good value on a quality product."], "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": ["Easy setup, and delivers all the functions we need."], "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": ["This laptop 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": ["Despite the fact that there's no optical drive, everything is perfect."], "output": "[['laptop design_features', '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": ["The screen resolution is crystal clear, the speakers are amazing, and the track pad is easy to use."], "output": "[['display quality', 'positive'], ['multimedia_devices general', 'positive'], ['mouse usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 home page/startup is easy to navigate which is the one thing I was mainly concerned about."], "output": "[['os usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Internet is fast and reliable, battery life lasts a long time."], "output": "[['laptop connectivity', '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 love 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": ["LOOKS LIKE THIS DELL IS A PIECE OF CRAP."], "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 DOES NOT TURN ON - IF I TAKE THE BATTERY OUT IT MIGHT WORK, NOT SURE IF IT'S A BAD BATTERY OR COMPUTER!"], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 RECOMMEND!"], "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": ["Awesome 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": ["Bootup time is amazing, battery life is decent and it has a great slim form factor."], "output": "[['laptop operation_performance', 'positive'], ['battery operation_performance', 'neutral'], ['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 somewhat of a learning curve, but the operating system, and hardware of this Mac are great."], "output": "[['laptop usability', 'neutral'], ['os general', 'positive'], ['hardware general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["More than enough for my 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 display is vibrant and clear, the keyboard is well designed and pleasant to type on;"], "output": "[['display quality', 'positive'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I even installed a windows partition to be able to run Windows software."], "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": ["Things just work, they are fluid, easy to use and understand, fast and work well."], "output": "[['laptop operation_performance', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 absolutely perfect for web browsing, watching video, word processing, and that's about 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": ["If you want a computer that plays games or any advanced tasks like editing video, this computer is NOT for you."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 when I say don't expect to play games on it, I mean it."], "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": ["Pretty much every major game save for Solitare won't even play on it due to the slower processor."], "output": "[['laptop miscellaneous', 'negative'], ['cpu 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 also worth noting that there no bluetooth, no mircophone jack, no ethernet, no dvd/cd drive/burner, and no usb 3.0 ports."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 come with two usb 2.0 ports, a hdmi port, and a webcam."], "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 webcam is nothing special, its there if you need it."], "output": "[['multimedia_devices 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": ["Don't expect it to take good pictures or video."], "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": ["The battery is pretty soild."], "output": "[['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": ["It lasts up to 5-6 hours with normal use."], "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 computer itself runs very quiet and is mostly cool to the touch."], "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 major negative to me is Windows 8.1 (though YMMV) and the Dell crapware installed."], "output": "[['os general', 'negative'], ['software general', '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": ["Not bad for the price."], "output": "[['laptop general', '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": ["I needed an inexpensive laptop to do basic office work on that was lightweight and this fits the bill just fine."], "output": "[['laptop price', 'positive'], ['laptop design_features', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Performance wise, it's a bit slow, but that's to be expected from a Celeron-class processor."], "output": "[['laptop operation_performance', 'negative'], ['cpu operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 also not a fan of Windows 8, but fortunately I can install whatever I want on the laptop without issue."], "output": "[['os general', 'negative'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 everything about 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": ["Sound, quality and touchscreen are awesome!"], "output": "[['multimedia_devices quality', 'positive'], ['laptop quality', 'positive'], ['display general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I would definitely recommend 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": ["I love this laptop to the moon."], "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 favorite colors black and red, the matte material and the red backlight of the keyboard."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 great and it's fast."], "output": "[['multimedia_devices 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": ["The laptop is beautiful, not extremely light but thin enough and wide screen with a full keyboard."], "output": "[['laptop design_features', 'positive'], ['display design_features', 'positive'], ['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The touch screen response is fast and it picks up bluetooth and wifi FAST."], "output": "[['display 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": ["Microsoft Office is a 30 day trial, a number of games and apps are already preloaded."], "output": "[['software miscellaneous', 'neutral'], ['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's exactly like the picture and I AM SATISFIED."], "output": "[['laptop miscellaneous', '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 laptop light and very versatile"], "output": "[['laptop general', '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": ["it was 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": ["I like the number pad for work so that's nice"], "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": ["This is going to be random and unorganized, but here are my thoughts on the laptop:So far so good after a month."], "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 took some getting used to on the Widows 8.1, after being an XP user for many years."], "output": "[['os usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 seems to be running smoothly."], "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": ["Only downfall is the preloaded McAfee and other software."], "output": "[['software general', '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": ["They are fine while the free subscription is going, but a pain when they start asking you to spend money every time you login."], "output": "[['software general', 'positive'], ['software miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Device is light weight, quiet during operation and produces little to no heat."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 quick start up and shut down 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": ["The display is good quality."], "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": ["Just wish there were more USB ports."], "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 AM IMPRESSED WITH THIS COMPUTER, INEXPENSIVE BUT QUALITY."], "output": "[['laptop general', 'positive'], ['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": ["LOVE THE SIZE, I AM USING THIS FOR WORK, I AM A NURSE AND HAVE TO CHART DAILY, THIS IS EASY TO USE AND I HAVE NOT HAD ANY PROBLEMS WITH IT."], "output": "[['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 damn good I bought 2 :D"], "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're the type of person that just likes to browse the Internet and enjoy media and do light work with Microsoft office, this is the laptop for you."], "output": "[['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 expect it to be a champion performer so if you want to play games or whatever this is not the computer for you."], "output": "[['laptop operation_performance', 'neutral'], ['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 extremely light weight and slim because of the lack of an optical drive (who uses those anymore anyways) so it easily fits into any college students bag."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I would recommend this to anyone who doesn't need much out of a 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 am 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 is exactly what I expected, and the price is excellent!"], "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": ["You are getting what you pay for and in my opinion, it is worth more."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Been using it for about 4 hours now and it seems plenty fast and does everything I need it to do."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 very basic laptop."], "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 thought it would have a CD-rom drive, but there isnt one."], "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": ["Also wish it had a port to plug an internet cord into it because sometimes my wifi router likes to not work."], "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": ["But for the price its good."], "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": ["Other than the slow CPU it works great for everyday use."], "output": "[['cpu operation_performance', 'negative'], ['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": ["Heavy gaming is definitely not it's strong point."], "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 cover is a soft rubber texture without the friction."], "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": ["Slick design and looks great."], "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 machine is easy to use, has the power it needs for personal use and some light professional work."], "output": "[['laptop usability', 'positive'], ['laptop miscellaneous', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 could be lighter, but couldn't everything."], "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 battery seems adequate for most uses ~ 4.5 hour use/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": ["Screen is clear and bright."], "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": ["Glad it has the DVD drive."], "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": ["Perfectly adequate."], "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 PC."], "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 i7 is incredibly fast, the RAM makes it proper for several games (not on maximum quality)."], "output": "[['cpu operation_performance', 'positive'], ['memory design_features', '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": ["Great sound quality too."], "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": ["Nice 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": ["I use it for school, its quick and has everything I need on it."], "output": "[['laptop operation_performance', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 battery life as well."], "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": ["Wifi card not working right out of the box."], "output": "[['laptop connectivity', 'negative'], ['hardware quality', 'negative'], ['hardware 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": ["Dealing with HP support is a ridiculous and painful experience."], "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 have spent more than 2.5 hours on the phone with them (over 4 different calls), only to get no where."], "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 I'm looking into the return process, which I'm sure will just be loads of fun, if my prior experience is any indication."], "output": "[['support quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Seriously, save yourself the hassle and purchase from a different company."], "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": ["Used to love HP products, but this has soured me on the whole company."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["By far the best laptop I've ever had."], "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, powerful, screen display is top notch and the battery life is excellent for a laptop of this size."], "output": "[['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 concern is that since the battery is not external, I will not be able to change it out once it starts not to hold a good charge over a length of time."], "output": "[['battery 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 wonder if thats just Apples way of saying its time to get the newest and greatest laptop 3-4 years from now lol."], "output": "[['company general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 product is average and works well."], "output": "[['laptop general', '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": ["Works at a decent speed."], "output": "[['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 mouse pad however is very loud which is why i gave it four stars."], "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": ["I had a great experience purchasing my Dell Inspiron i3531-1200BK 15.6-Inch 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": ["My laptop was easy to set-up, and I've had no problems to date."], "output": "[['laptop usability', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Did not disappoint me 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": ["Lenovo is the best 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": ["Built in mike is really poor and unusable for Skype or any other purpose."], "output": "[['multimedia_devices quality', 'negative'], ['multimedia_devices usability', 'negative'], ['multimedia_devices 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": ["And the only microphone input is for a combo Mike/Speaker plug."], "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 to communicate I need to wear ear plugs or a headset with a built-in mike."], "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 a nuisance for family Skype calls...only one can speak at a time."], "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": ["We haven't used it enough or had it long enough to give it 5 stars, but so far it has been a very good laptop."], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Several other reviewers made comments on the keyboard and now I can understand why --- this keyboard is the nicest to use of any laptop we've ever owned."], "output": "[['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'm a life-long desktop computer user, and the keyboard on this laptop is as close to a \"normal\" keyboard as I've ever seen."], "output": "[['keyboard general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 like this new laptop -- a lot!"], "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 good performer 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": ["Not blazing fast, but quick enough."], "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": ["One really nice thing about Lenovo laptops is that they are not cluttered with a bunch or trial software."], "output": "[['laptop design_features', 'positive'], ['software miscellaneous', '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 desktop was clean once I got it up and running."], "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": ["Battery life is above average, and it charges quickly."], "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 sturdy."], "output": "[['keyboard quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["The touch pad takes a little getting used to as the \"click\" buttons are on top instead of the bottom."], "output": "[['mouse design_features', 'neutral'], ['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 will be considering Lenovo for all future laptop purchases."], "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 lap top is good 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": ["It is quiet runs smoothly."], "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 really like the video option on it, I stream movies on Amazon Prime and Netflix and there is no lag."], "output": "[['laptop design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 negative would be that it gets pretty warm sitting on my lap for very long, but that is pretty much standard for all lop tops I think."], "output": "[['laptop quality', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 stopped working 31 days after purchase."], "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 was slow and might be problematic."], "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": ["i would shop around for a better 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": ["CRASHED only 2 days from getting 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": ["Says it is failing hard drive."], "output": "[['hard_disc quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I should have bought something better."], "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 PC is works well with a good battery and a power cable, and has a web cam."], "output": "[['laptop operation_performance', 'positive'], ['battery 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": ["However, it does not have a DVD drive, neither does it afford one the opportunity to connect an external DVD drive as the manufacturer did not make any point ofconnection of an external drive."], "output": "[['laptop design_features', 'negative'], ['laptop usability', 'negative'], ['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Other than a hate of windows 8, she just loves it."], "output": "[['laptop general', 'positive'], ['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": ["The plastic materials are rather cheap."], "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": ["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": ["NEEDS MORE INSTRUCTIONS WITH IT"], "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'm very happy with my Acer, it does just for what I need 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": ["Even the sound is fantastic"], "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": ["I love 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": ["Even my extremely tech savvy boyfriend was impressed with the features and sleek design."], "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": ["Although I've had it for less than a week, I am very 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": ["Functions 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": ["Does all that was advertised."], "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 it had a 4,5 star option, that is what I would give."], "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 build is perfect, the screen fantastic, but I do have a bit of a problem with the fact that I have to buy adaptors for nearly everything, from vga cables to ethernet cables, so, almost perfect..."], "output": "[['laptop quality', 'positive'], ['display general', 'positive'], ['laptop connectivity', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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.Great display."], "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": ["Love the color accuracy."], "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": ["2.Very decent speakers."], "output": "[['multimedia_devices general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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.Fairly 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": ["4.Loud fan when watching 4K video off YouTube."], "output": "[['fans_cooling 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 washer."], "output": "[['fans_cooling 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": ["Machine gets fairly hot near the bottom of the screen."], "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": ["Battery power laptop had difficulties computing."], "output": "[['laptop operation_performance', '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": ["6.Still feels too heavy to me."], "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": ["Could lose another pound or two."], "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": ["7.Expensive."], "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": ["Paid close to $2800 out the door."], "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": ["Biggest piece of junk I have ever purchased."], "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 clunker however stopped working after only two weeks of having it delivered."], "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 would have a full charge yet would turn itself off for no explainable reason after being on for 5 minutes."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 second one, after a little over a month, refused to turn on even with a full charge."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 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 is a big 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": ["I only use a laptop for personal use, but this one can't even handle that!"], "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 takes a long time to load any page."], "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've had it for a minth and so far it's shut down completely 3 times."], "output": "[['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 Dell Desktops for years, so had no qualms about buying a Dell laptop."], "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've always sworn by dell."], "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": ["So with this new order, all the upgrades and windows 8 really caught my eye and I got this for the long haul."], "output": "[['laptop design_features', 'positive'], ['os general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 ultra tech savvy but I can tell when it works 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": ["I barely have any files or downloads and its almost impossible to get this thing to load."], "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": ["I'm so 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": ["In two months, both the power cord pin broke (the company replaced it) and then the CD drive literally jumped out of the laptop unannounced and shattered into a million pieces."], "output": "[['power_supply quality', 'negative'], ['support quality', 'positive'], ['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": ["In addition, no matter what I do to change the settings, add/delete Flash, etc., Firefox hangs on start-up."], "output": "[['software operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 like Lenovo also makes weird choices about which side to put the powercord and other slots on."], "output": "[['laptop design_features', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 cords always feel like they are in my way."], "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": ["One positive aspect of this laptop is the keyboard, which is larger than usual."], "output": "[['keyboard design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["It's a pleasure to type on."], "output": "[['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": ["My final thoughts: if you are a Mac user, stay away."], "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": ["If you want to travel with this laptop, don't buy it."], "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": ["It's clunky, heavy, and a pain to start up and shut down."], "output": "[['laptop portability', 'negative'], ['laptop design_features', 'negative'], ['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 for games"], "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 truly a great laptop 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": ["However, this laptop far exceeded my expectations when I bought it for college, I only use Malwarebytes and Microsoft Security Essentials, run a virus scan maybe once a week and it has ran smoother than butter for the past two years."], "output": "[['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 $250, which is as much as my graphics card alone cost, this laptop is an incredible value."], "output": "[['laptop price', 'positive'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 quite impressive at multitasking, which really surprised 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": ["I can have tabs open while playing YouTube videos and it handles it impressively 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": ["BUT I should tell you that this laptop does not have the best screen, it's certainly good enough for the average person, but if you're used to good screens this may bother you a bit, but it's certainly not unbearable by anyone's standards."], "output": "[['display general', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 want to game, this thing can handle League of Legends on medium-low settings, but I certainly wouldn't recommend it for gaming."], "output": "[['laptop miscellaneous', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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, a great laptop for simply doing basic things 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": ["Would definitely recommend for those who are \"technologically ignorant\""], "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": ["this computer is very 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": ["I love 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 does everything I need it too!"], "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 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": ["Very nice 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": ["Immediately didn't like the track buttons."], "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 are loud and clunky but I figured I'd get used to it."], "output": "[['mouse quality', 'negative'], ['mouse design_features', 'negative'], ['mouse usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 died two days after I received 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 purchased a  Dell Inspiron I3531-1200BK and so far I love it, this model has a true life monitor, which is worth the extra bucks."], "output": "[['laptop general', 'positive'], ['display design_features', '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 looking for a basic PC this is the way to go."], "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 hinges on this PC are nice and tight and well made like the rest of the PC."], "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 was surprised  at  the overall quality and the 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": ["In all my life i have never come across a computer as slow as this one, it cant perform basic operations and is practically useless."], "output": "[['laptop operation_performance', 'negative'], ['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 received the laptop and if it runs like this already cant imagine how it would work in the next couple of weeks."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 almost 20 minutes to boot 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": ["Please people dont make the same mistake i did."], "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 complete waste of money, dont let the price fool you!"], "output": "[['laptop general', 'negative'], ['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": ["Would be a very nice laptop if the mousepad worked properly."], "output": "[['laptop general', 'positive'], ['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": ["It was not responsive at all to touch."], "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": ["And while tapping the mousepad to try to get it to work, your palm would inevitably touch the side which would pull up the side windows and block your ability to find the mouse."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 they can fix this, I think it would be a very nice, cost-effective laptop."], "output": "[['laptop general', 'positive'], ['laptop price', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 broke within the first hour of use."], "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 'A' key became jammed so that sometimes it wouldn't press in."], "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": ["Dell claims they test each key with thousands of mechanical key strokes."], "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": ["Also, after restarting the laptop it constantly made high pitched electronic noises."], "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'm sure I just got a bad egg, but instead of getting a replacement I decided to try a different one."], "output": "[['laptop quality', 'negative'], ['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 nice."], "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 a decent feel to it, sharp display and is fast enough."], "output": "[['laptop quality', 'positive'], ['display quality', '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": ["The biggest problem I have is the right side and top of the touchpad is unresponsive."], "output": "[['mouse operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 updated the drivers and tweeked every feature available, but nothing has helped."], "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": ["Also, the touchpad is almost 'sticky', which kind of defeats the purpose of a touchpad."], "output": "[['mouse operation_performance', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 love to keep this laptop, but will be sending it back and looking for a different brand."], "output": "[['laptop general', 'negative'], ['company general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 Lenovo for me."], "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": ["Initially I liked the product 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": ["Although it was slow but I felt it was ok for the price you have bought it."], "output": "[['laptop operation_performance', 'negative'], ['laptop general', 'neutral'], ['laptop price', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 now I am having battery problems."], "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": ["Laptop automatically shuts down when battery life reaches 30%."], "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 am not satisfied 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": ["It's an amazing 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": ["Most of the things about the laptop is awesome except the touchpad."], "output": "[['laptop general', 'positive'], ['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": ["The laptop is 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": ["The Windows 8.1 used to boot in just 2s and that was freaking awesome."], "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": ["Now I have dual booted my laptop to Windows 8.1 and Ubuntu 14.04 and it's not got too slow either."], "output": "[['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 loving it completely."], "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 does make a little noise but that's alright as it's not too much."], "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": ["It doesn't get heated up much even after continuous usage."], "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": ["But the  touchpad is soooooooooo big that whenever I am typing, my palm touches some part of it and then the cursor goes somewhere else and it's really annoying."], "output": "[['mouse design_features', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I prefer typing without having to see the keyboard but due the large touchpad, i always have to type cautiously as my hand might take me somewhere else."], "output": "[['mouse design_features', '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": ["A smaller touchpad would make life easier for Computer Science students or IT people much more easier."], "output": "[['mouse design_features', 'negative'], ['mouse usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Uhhhhhh, the computer looks 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": ["But, it works really slowwwwww!!!"], "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 got me feel like to take years to successfully open a web page."], "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": ["Purchased it for my birthday and 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'm so glad that I have."], "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 been a very easy transition moving my Windows created files over to the 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": ["So far I haven't lost any quality or information."], "output": "[['laptop quality', '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 a little bit of a learning curve with the keyboard shortcuts."], "output": "[['keyboard 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": ["But other than that, I really am loving the quality and speed."], "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": ["Expensive but 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": ["The display has a great resolution but have difficulty always seeing the small print."], "output": "[['display quality', 'positive'], ['display usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Haven't quite figured out how to make the font size larger overall."], "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": ["This is without a doubt the worst laptop I've ever had."], "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 of course, the return window closed last week so now, I'm stuck 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": ["I will never buy another Lenovo anything!"], "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": ["Unless you plan on using a mouse with this laptop, don't buy this."], "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": ["The touchpad hasn't worked correctly since delivery though in the beginning, I thought perhaps it was just a bit of a quirk since most touchpads I've worked with have some inherent oddities."], "output": "[['mouse operation_performance', 'negative'], ['mouse quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 however, is now very loose and I have to either tap hard or repeatedly push to click in order for it to work, Then suddenly, I can barely touch it at all and it clicks on its own."], "output": "[['mouse quality', 'negative'], ['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": ["Today, it hasn't worked at all more than it has."], "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": ["It hangs, freezes and just isn't working properly."], "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 have now been waiting almost a minute for the computer management window to open!"], "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": ["Though I don't have much installed, I only have 96 of the 278G left!"], "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 have no idea what's taking up all the room, it doesn't make sense."], "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 could go on and on, but suffice it to say, if you want to spend $400+ on a laptop, don't buy 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": ["It's definitely not worth the money."], "output": "[['laptop general', '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": ["Very fast and good for most steam games."], "output": "[['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": ["Don't expect great graphics, though."], "output": "[['graphics 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 keyboard and sound are great, and the matte screen works well."], "output": "[['keyboard general', 'positive'], ['multimedia_devices quality', 'positive'], ['display operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 run CS:GO at 60 fps on low settings."], "output": "[['display 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": ["Computer was DOA."], "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": ["Turned it on and it was beeping."], "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 love 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": ["Looks good , well built, and very good speed."], "output": "[['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Needed a 2 usb adapt. for network plug, no problem."], "output": "[['laptop connectivity', '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": ["Keyboard is nice and windows 8.1 is great, worried about that coming from xp."], "output": "[['keyboard 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": ["Price makes this the laptop I was looking for."], "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": ["So far I am 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 has everything I wanted-- built in Wi-Fi connectibility, a slot for my SD camera memory card, a DVD burner, big beautiful screen, plenty of USB ports (three 3.0 and one 2.0), and a keyboard with a nice touch."], "output": "[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop connectivity', 'positive'], ['display design_features', 'positive'], ['display 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": ["I liked the fact that it came with Windows 7, but also included Windows 8 to install later if I need it."], "output": "[['os general', 'positive'], ['laptop design_features', 'positive'], ['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 price was good."], "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 use a wireless mouse, but the touch pad and the \"red button\" in the middle that works like a little \"joystick\" also work fine."], "output": "[['mouse operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 I had bought this sooner!"], "output": "[['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This is a great bargain."], "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": ["Yes, it's running and old type processor so, hey, don't even try gaming on it."], "output": "[['cpu design_features', 'neutral'], ['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, if you are just an average user, it works really great."], "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 good, the whole things is very light and doesn't run hot."], "output": "[['display general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 it, typing on it right now and it is fast enough for that!"], "output": "[['laptop general', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 everything about 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 has no way of connecting to the internet save wifi but that's all I use anyway!"], "output": "[['laptop connectivity', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I put that free app on for word processing and it works like a charm."], "output": "[['software operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I plugged it into my existing printers and it just worked, no fuss no muss."], "output": "[['laptop connectivity', '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 immediately recognized the printer and was ready to go."], "output": "[['laptop connectivity', '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 buy."], "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 worst computer I have ever laid my eyes upon."], "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": ["Firstly, it has no leds to let you know what is going on, no cap lock, no hard drive indicator, nothing."], "output": "[['laptop design_features', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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, one light to let you know if the damn thing is on."], "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 biggie though is the fact that it disconnects from the internet whenever if feels like it, even when the strength bar is filled."], "output": "[['laptop connectivity', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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, when you try to download a large file, like a video, it will start out normally, downloading at around 600kb/sec and over the course of a couple of minutes will slow waaaaaay down to around 20kb/sec, making a download of a couple minutes into several hours making it worthless."], "output": "[['laptop connectivity', 'negative'], ['laptop operation_performance', 'negative'], ['laptop usability', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Too often I would find it not being able to stay connected to the internet."], "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 was unable to download iTunes to 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": ["Dell support was awful to deal with."], "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": ["And the settings are simply annoying."], "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 not for me."], "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 as expected, and 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 8.1 windows is a major disappointment."], "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": ["Operating a non touch screen on this system is a royal pain!"], "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": ["It came with no instruction book - no back up CD's and has already crashed."], "output": "[['laptop miscellaneous', 'negative'], ['laptop operation_performance', 'negative'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Hands down one of my best and most used purchases thus 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 Mid-2014 MacBook Pro does no disappoint..."], "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": ["Retina screen, solid build quality, weight, fast processor and the reliability of the Apple brand."], "output": "[['display quality', 'positive'], ['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['company general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["Cons:Honestly zero con's ... as a Windows PC user the switch over was seamlessly,  I run Parallel when I need Windows."], "output": "[['laptop general', 'positive'], ['laptop usability', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 my devices work flawlessly."], "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'm an amature, so this does more than I can handle."], "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'm perfectly satisfied, just have to get use to the new 6.1 system I can't see a problem."], "output": "[['laptop general', 'positive'], ['os usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["I' doi9ng fine now, and happy as a bug."], "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 great and it does everything I want to do,  Thanks."], "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": ["It's perfect!"], "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 for what he uses it for."], "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 really not happy 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 don't like WINDOWS 8 but that is no fault of the computer but the keyboard is so hard to get the keys to work and the space bar."], "output": "[['os general', '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": ["Would not buy it again."], "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": ["Meh...but cheap."], "output": "[['laptop general', 'neutral'], ['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 first thing I can say for positive is that the laptop is very light- makes it really portable..this with a relatively clear screen is a bonus."], "output": "[['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['display quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 graphics are not HD...and the reason that it is light is that it is really basic (medium low grade) plastic."], "output": "[['graphics quality', 'negative'], ['laptop design_features', '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": ["So if you don't have kids, or not in high school or don't accidently sit on it, it should be fine."], "output": "[['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 speed is disappointing."], "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": ["Start up is fine  maybe 20 secs at most, but then to get pages to load on internet is molasses at times."], "output": "[['laptop operation_performance', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 for a 4GB RAM it barely chugs with 3 tabs open."], "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": ["All in all I wish I had waited a bit."], "output": "[['laptop general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die.\"  Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] "}
{"task_type": "generation", "dataset": "semeval-2015", "input": ["This laptop 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": ["Windows 8.1 has its pros and cons."], "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": ["The keyboard is backlit but you have to press the F5 key to turn it on."], "output": "[['keyboard design_features', 'positive'], ['keyboard usability', 'neutral']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 nervous at first that I purchased a lemon but the user manual explains how to turn on the keyboard  backlight."], "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": ["Of course this will decrease your battery life."], "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": ["The sound is very nice and crisp."], "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": ["Also, I have no regrets about going with the 8GB RAM because its super fast."], "output": "[['memory design_features', 'positive'], ['laptop operation_performance', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 still exploring the various features but overall I am satisfied with my purchase."], "output": "[['laptop design_features', 'neutral'], ['laptop general', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 HP Envy 15 has been everything I expected."], "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": ["After doing much research for a laptop that had all the features I was looking for, This one hit all the criteria I had."], "output": "[['laptop design_features', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 responsice with the Core i7 processor and 8GB of RAM and the sound out of the Beats audio is great."], "output": "[['laptop operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive'], ['software quality', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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 product to anyone looking for a top performing 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": ["used 6 times black screen returned for refund"], "output": "[['display operation_performance', 'negative'], ['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": ["do not use the facial recognition"], "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": ["Windows 8 is not supported by a lot of things!"], "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": ["The Dell is quick enough, sturdy, not good with finger prints."], "output": "[['laptop operation_performance', 'positive'], ['laptop quality', 'positive'], ['laptop quality', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a 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 what it advertises."], "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": ["Price is great, wish it didn't have Windows 8, but that is an opinion."], "output": "[['laptop price', 'positive'], ['os general', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": " Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Input: \"They gave me a hard time yet again, but their was a malfunction 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, for anybody needing a reliable simple laptop."], "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 bought this for my daughter to use for school and homework, it's not a \"fast\" computer, but it's great for what she needs it for and very light weight!"], "output": "[['laptop operation_performance', 'negative'], ['laptop design_features', '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": ["Love the price too!"], "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']] "}